First ever!

Pipfile

@@ -0,0 +1,12 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+django = "*"
+
+[dev-packages]
+
+[requires]
+python_version = "3.10"

Pipfile.lock

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+{
+    "_meta": {
+        "hash": {
+            "sha256": "7e6dca07b964c2888324e576ba6c1bc240d74a27b75619fc88bca2ee3979baf8"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.10"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "asgiref": {
+            "hashes": [
+                "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47",
+                "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==3.8.1"
+        },
+        "django": {
+            "hashes": [
+                "sha256:8363ac062bb4ef7c3f12d078f6fa5d154031d129a15170a1066412af49d30905",
+                "sha256:ff1b61005004e476e0aeea47c7f79b85864c70124030e95146315396f1e7951f"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.10'",
+            "version": "==5.0.6"
+        },
+        "sqlparse": {
+            "hashes": [
+                "sha256:714d0a4932c059d16189f58ef5411ec2287a4360f17cdd0edd2d09d4c5087c93",
+                "sha256:c204494cd97479d0e39f28c93d46c0b2d5959c7b9ab904762ea6c7af211c8663"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==0.5.0"
+        },
+        "typing-extensions": {
+            "hashes": [
+                "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0",
+                "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"
+            ],
+            "markers": "python_version < '3.11'",
+            "version": "==4.11.0"
+        }
+    },
+    "develop": {}
+}

backup/base/admin.py

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+from django.contrib import admin
+
+# Register your models here.

backup/base/apps.py

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+from django.apps import AppConfig
+
+
+class BaseConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'base'

backup/base/forms.py

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+from django import forms
+
+class DocumentForm(forms.Form):
+    docfile = forms.FileField(label='Select a file')

backup/base/migrations/0001_initial.py

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+# Generated by Django 5.0.6 on 2024-05-20 15:19
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Upload',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('uploadFile', models.FileField(upload_to='')),
+                ('uploadDate', models.DateTimeField(auto_now_add=True)),
+            ],
+        ),
+    ]

backup/base/migrations/0002_document_delete_upload.py

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+# Generated by Django 5.0.6 on 2024-05-20 15:33
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('base', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Document',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('docfile', models.FileField(upload_to='documents/%Y/%m/%d')),
+            ],
+        ),
+        migrations.DeleteModel(
+            name='Upload',
+        ),
+    ]

backup/base/models.py

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+from django.db import models

backup/base/static/js/loading.js

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+$(document).ready( function()
+{
+  $('#spinner').on('click', function()
+  {
+    $('body').addClass('busy');
+  });
+});

backup/base/templates/base/home.html

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+{% extends 'main.html' %}
+
+{% block content %} 
+{% load static %}
+<div class="container-fluid">
+    <div class="mx-auto p-4 text-center bg-white shadow-sm">
+        <a href="/" >
+            <h1>
+                EXTREMUM
+            </h1>
+        </a>
+    </div>
+
+    <br>
+    <br>
+    
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <h3>
+                <i class="fas fa-upload"></i> Import a file
+            </h3>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class = "mx-auto p-4 text-center">
+            <form action="{% url 'home' %}" id="csv" method="post" enctype="multipart/form-data">
+                {% csrf_token %}
+                <input type="file"
+                    title="Upload excel file"
+                    name="excel_file"
+                    style="border: 1px solid black; padding: 5px;"
+                    required="required">
+                <input action="uploadCsv" type="submit" method="POST"
+                    value="Upload"
+                    name="csv"
+                    style="border: 1px solid green; padding:5px; border-radius: 2px; cursor: pointer;">
+            </form>
+        </div>
+    </div>
+
+    <br>
+    <div class="row">
+        <div class="col">
+            <div class="scrollit">
+                {{ data_to_display|safe }}
+            </div>
+        </div>
+    </div>
+    <br>
+ 
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <h3 >
+                <i class="fa-solid fa-chart-simple"></i> Stats
+            </h3>
+        </div>
+    </div>
+    
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <form action="{% url 'stats' %}" method="POST" id="stats">
+                {% csrf_token %}
+                <select id="feature1" name="feature1">
+                    <option disabled selected> Feature 1 </option>
+                    {% for label in labels %}
+                        <option value={{label}}>{{label}}</option>
+                    {% endfor %}
+                </select>
+                <select id="feature2" name="feature2">
+                    <option disabled selected> Feature 2 </option>
+                    {% for label in labels %}
+                        <option value={{label}}>{{label}}</option>
+                    {% endfor %}
+                </select>
+                <input type="submit" value="Plot">
+            </form>
+        </div>
+    </div>
+
+    {% if fig %}
+    <div class="row">
+            <div class="col d-flex justify-content-center">
+                {{ fig|safe }}
+            </div>
+    </div>
+    {% endif %}
+
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <h3 >
+                <i class="fas fa-cog"></i> Preprocessing
+            </h3>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class="col d-flex justify-content-center multi-button">
+            <form action="/preprocess" method="POST">
+                {% csrf_token %}
+                <div class="multi-button">
+                    <button type="submit" name = "std" class="button-6" role="button" >Standardization</button>
+                    <button type="submit" name="onehot" style="margin:0;margin-left:16px;" class="button-6" role="button" >One Hot Encoding</button>
+                    <button type="submit" name="imp" style="margin:0;margin-left:16px;" class="button-6" role="button" >Imputations</button>
+                </div>
+            </form>
+        </div>
+    </div>
+    
+    <br>
+    <br>
+
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <form action="/train" method="POST">
+                {% csrf_token %}
+                <button type="submit" name = "svm" style="margin:0;margin-left:16px;" class="button-6" role="button" >Support Vector Machine</button>
+                <button type="submit" name = "logit" style="margin:0;margin-left:16px;" class="button-6" role="button" >Logistic Regression</button>
+                <button type="submit" name="xgb" style="margin:0;margin-left:16px;" class="button-6" role="button" >XGBoost</button>
+                <button type="submit" name="dt" style="margin:0;margin-left:16px;" class="button-6" role="button" >Decision Tree</button>
+                <button type="submit" name="rt" style="margin:0;margin-left:16px;" class="button-6" role="button" >Random Forest</button>
+            </form>
+        </div>
+    </div>
+    <br>
+    <br>
+</div>
+{% endblock content%}

backup/base/tests.py

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+from django.test import TestCase
+
+# Create your tests here.

backup/base/urls.py

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+from django.urls import path
+from . import views
+from . import models
+
+urlpatterns = [
+    path('', views.home, name="home"),
+    path('preprocess', views.preprocess, name="preprocess"),
+    path('stats', views.stats, name="stats"),
+    path('train',views.training, name = 'training'),
+]

backup/base/utils.py

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+def stats(feature1, feature2, df):
+    import plotly.express as px
+    fig = px.scatter(df, x=feature1, y=feature2, color='Churn')
+    fig = fig.to_html(full_html=False)
+    return fig

backup/base/views.py

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+from django.shortcuts import render, redirect
+import pandas as pd
+from django.core.files.storage import FileSystemStorage
+import pickle, os
+from sklearn.preprocessing import OneHotEncoder
+from sklearn.impute import SimpleImputer
+import numpy as np
+from . import utils
+
+
+fig = None
+excel_file_name_preprocessed = "dataset_preprocessed.csv"
+excel_file_name = "dataset.csv"
+
+def home(request):
+    global fig
+    global excel_file_name
+    global excel_file_name_preprocessed
+    
+    if request.method == 'POST':
+        excel_file = request.FILES["excel_file"]
+        excel_file_name = request.FILES["excel_file"].name
+        df = pd.read_csv(excel_file)
+        
+        fs = FileSystemStorage() #defaults to MEDIA_ROOT
+        request.session['excel_file_name'] = excel_file_name
+        fs.save(excel_file_name, excel_file)
+        
+        idx = excel_file_name.index('.')
+        excel_file_name_preprocessed = excel_file_name[:idx] + "_preprocessed" + excel_file_name[idx:]
+        fs = FileSystemStorage() #defaults to MEDIA_ROOT
+        request.session['excel_file_name_preprocess'] = excel_file_name_preprocessed
+        fs.save(excel_file_name_preprocessed, excel_file)
+    
+    # if file for preprocessing does not exist create it
+    if os.path.exists(excel_file_name_preprocessed) == False:
+        df = pd.read_csv(excel_file_name) 
+        df.to_csv(excel_file_name_preprocessed)
+    
+    # collect the data to render
+    df = pd.read_csv(excel_file_name)
+    data_to_display = df[:5].to_html()
+
+    request.session['data_to_display'] = data_to_display
+    request.session['excel_file_name'] = excel_file_name
+    request.session['excel_file_name_preprocessed'] = excel_file_name_preprocessed
+    labels = df.columns
+    
+    context = {'data_to_display': data_to_display, 'excel_file': excel_file_name, 'labels': labels, 'fig': fig}
+    return render(request,'base/home.html', context)
+
+def stats(request):
+    global fig
+    excel_file = request.session.get('excel_file_name')
+    df = pd.read_csv(excel_file)
+    import plotly.express as px
+    if request.method == 'POST':
+        feature1 = request.POST.get('feature1')
+        feature2 = request.POST.get('feature2')
+    else:
+        feature1 = "MonthlyCharges"
+        feature2 = "tenure"
+        
+    fig = px.scatter(df, x=feature1, y=feature2, color='Churn')
+    fig = fig.to_html(full_html=False)
+    request.session['fig'] = fig
+    return redirect('home')
+
+def preprocess(request):
+    from sklearn.preprocessing import StandardScaler
+        
+    excel_file_name_preprocessed = request.session.get('excel_file_name_preprocessed')
+    print(excel_file_name_preprocessed)
+    data = pd.read_csv(excel_file_name_preprocessed)
+    
+    if set(['No','customerID','Churn']).issubset(data.columns):
+        data.drop(['No','customerID','Churn'],axis=1,inplace=True)
+    
+    if request.method == 'POST':
+        if 'std' in request.POST:
+            # define standard scaler 
+            scaler = StandardScaler() 
+            # transform data 
+            num_d = data.select_dtypes(exclude=['object'])
+            data[num_d.columns] = scaler.fit_transform(num_d)
+            
+        if 'onehot' in request.POST:
+            data = pd.get_dummies(data,columns=['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines',
+                                'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',
+                                'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract',
+                                'PaperlessBilling', 'PaymentMethod'],drop_first = True)
+            
+        if 'imp' in request.POST:
+            data_numeric = data.select_dtypes(exclude=['object'])
+            data_categorical = data.select_dtypes(exclude=['number'])
+            imp = SimpleImputer(missing_values=np.nan, strategy='mean')
+            data_numeric = pd.DataFrame(imp.fit_transform(data_numeric), columns = data_numeric.columns, index=data_numeric.index) #only apply imputer to numeric columns
+            data = pd.concat([data_numeric, data_categorical], axis = 1)
+            
+        os.remove(excel_file_name_preprocessed)
+        data.to_csv(excel_file_name_preprocessed)
+    return redirect('home')
+
+def training(request):
+    global fig
+    excel_file = request.session.get('excel_file_name')
+    data = pd.read_csv(excel_file)
+    
+    y=data['Churn']
+    y=y.replace({"Yes":1,"No":0})
+    from sklearn.model_selection import train_test_split
+    X_train, X_test, y_train, y_test = train_test_split(data, y, test_size=0.2, random_state=0)
+    X_train.to_csv("X_train.csv")
+    X_test.to_csv("X_test.csv")
+    y_train.to_csv("y_train.csv")
+    y_test.to_csv("y_test.csv")
+    
+    if 'logit' in request.POST:
+        from sklearn.linear_model import LogisticRegression
+        clf = LogisticRegression(random_state=0).fit(X_train, y_train)
+        filename = 'lg.sav' 
+        pickle.dump(clf, open(filename, 'wb'))
+        return redirect('home')
+
+    if 'xgb' in request.POST:
+        from xgboost import XGBClassifier
+        xgb = XGBClassifier(learning_rate = 0.01,n_estimators=1000).fit(X_train, y_train)
+        file_name = 'xgb.sav'
+        pickle.dump(xgb,open(file_name,'wb'))
+        return render(request,'base/home.html', {})
+    

base/admin.py

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+from django.contrib import admin
+
+# Register your models here.

base/apps.py

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+from django.apps import AppConfig
+
+
+class BaseConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'base'

base/forms.py

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+from django import forms
+
+class DocumentForm(forms.Form):
+    docfile = forms.FileField(label='Select a file')

base/migrations/0001_initial.py

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+# Generated by Django 5.0.6 on 2024-05-20 15:19
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Upload',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('uploadFile', models.FileField(upload_to='')),
+                ('uploadDate', models.DateTimeField(auto_now_add=True)),
+            ],
+        ),
+    ]

base/migrations/0002_document_delete_upload.py

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+# Generated by Django 5.0.6 on 2024-05-20 15:33
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('base', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Document',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('docfile', models.FileField(upload_to='documents/%Y/%m/%d')),
+            ],
+        ),
+        migrations.DeleteModel(
+            name='Upload',
+        ),
+    ]

base/models.py

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+from django.db import models

base/static/js/loading.js

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+$(document).ready( function()
+{
+  $('#spinner').on('click', function()
+  {
+    $('body').addClass('busy');
+  });
+});

base/templates/base/home.html

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+{% extends 'main.html' %}
+
+{% block content %} 
+{% load static %}
+<div class="container-fluid">
+    <div class="mx-auto p-4 text-center bg-white shadow-sm">
+        <a href="/" >
+            <h1>
+                EXTREMUM
+            </h1>
+        </a>
+    </div>
+
+    <br>
+    <br>
+    
+    <div class="row">
+        <div class="col d-flex justify-content-center">
+            <h3>
+                <i class="fas fa-upload"></i> Import a file
+            </h3>
+        </div>
+    </div>
+
+    <div class="row">
+        <div class = "mx-auto p-4 text-center">
+            <form action="{% url 'home' %}" id="csv" method="post" enctype="multipart/form-data">
+                {% csrf_token %}
+                <input type="file"
+                    title="Upload excel file"
+                    name="excel_file"
+                    style="border: 1px solid black; padding: 5px;"
+                    required="required">
+                <input type="submit" method="POST"
+                    value="Upload"
+                    name="csv"
+                    style="border: 1px solid green; padding:5px; border-radius: 2px; cursor: pointer;">
+            </form>
+        </div>
+    </div>
+
+    <br>
+    <div class="row">
+        <div class="col">
+            <div class="scrollit">
+                {{ data_to_display|safe }}
+            </div>
+        </div>
+    </div>
+    <br>
+    
+    <div class="row justify-content-center">
+        <div class="col d-flex justify-content-center">
+            <form action="{% url 'home' %}" name="plot" method="POST" id="stats">
+                <label style="display:flex;
+                flex-direction:column;
+                align-items: center;">
+                    <h3>
+                        <i class="fa-solid fa-chart-simple"></i> Stats
+                    </h3>
+                </label>
+                {% csrf_token %}
+                <select id="feature1" name="feature1">
+                    <option value={{feature1}} selected>{{feature1}}</option>
+                    {% for label in labels %}
+                        {% if label != feature1 %}
+                            <option value={{label}}>{{label}}</option>
+                        {% endif %}
+                    {% endfor %}
+                </select>
+                <select id="feature2" name="feature2">
+                    <option value={{feature2}} selected>{{feature2}}</option>
+                    {% for label in labels %}
+                        {% if label != feature2 %}
+                            <option value={{label}}>{{label}}</option>
+                        {% endif %}
+                    {% endfor %}
+                </select>
+                <input type="submit" value="Plot" name="plot">
+            </form>
+        </div>
+
+        <div class="col d-flex justify-content-center multi-button">
+            <form action="{% url 'home' %}" method="POST">
+                {% csrf_token %}
+                <label style="display:flex;
+                flex-direction:column;
+                align-items: center;">
+                    <h3>
+                        <i class="fas fa-cog"></i> Preprocessing
+                    </h3>
+                </label>
+                <div class="multi-button">
+                    <button type="submit" name="std" class="button-6" role="button" >Standardization</button>
+                    <button type="submit" name="onehot" style="margin:0;margin-left:16px;" class="button-6" role="button" >One Hot Encoding</button>
+                    <button type="submit" name="imp" style="margin:0;margin-left:16px;" class="button-6" role="button" >Imputations</button>
+                </div>
+            </form>
+        </div>
+    </div>
+    <br>
+    <div class="row justify-content-center">
+        <div class="col d-flex justify-content-center">
+            {{ fig|safe }}
+        </div>
+        <div class="col d-flex justify-content-center">
+            <form action="{% url 'home' %}" method="POST">
+                <label style="display:flex;
+                flex-direction:column;
+                align-items: center;">
+                    <h3>
+                        <i class="fa-solid fa-wand-magic-sparkles"></i> Training
+                    </h3>
+                </label>
+                {% csrf_token %}
+                <div class="btn-toolbar" role="toolbar">
+                    <button type="submit" name="svm" style="margin:0;margin-left:16px;" class="button-6" role="button" >Support Vector Machine</button>
+                    <button type="submit" name="logit" style="margin:0;margin-left:16px;" class="button-6" role="button" >Logistic Regression</button>
+                    <button type="submit" name="xgb" style="margin:0;margin-left:16px;" class="button-6" role="button" >XGBoost</button>
+                </div>
+                <br>
+                <div class="justify-content-center btn-toolbar" role="toolbar">
+                    <button type="submit" name="dt" style="margin:0;margin-left:16px;" class="button-6" role="button" >Decision Tree</button>
+                    <button type="submit" name="rt" style="margin:0;margin-left:16px;" class="button-6" role="button" >Random Forest</button>
+                </div>
+            </form>
+        </div>
+    </div>
+</div>
+{% endblock content%}

base/tests.py

@@ -0,0 +1,3 @@
+from django.test import TestCase
+
+# Create your tests here.

base/urls.py

@@ -0,0 +1,10 @@
+from django.urls import path
+from . import views
+from . import models
+
+urlpatterns = [
+    path('', views.home, name="home"),
+    path('preprocess', views.preprocess, name="preprocess"),
+    path('stats', views.stats, name="stats"),
+    path('train',views.training, name = 'training'),
+]

base/utils.py

@@ -0,0 +1,5 @@
+def stats(feature1, feature2, df):
+    import plotly.express as px
+    fig = px.scatter(df, x=feature1, y=feature2, color='Churn')
+    fig = fig.to_html(full_html=False)
+    return fig

base/views.py

@@ -0,0 +1,142 @@
+from django.shortcuts import render, redirect
+import pandas as pd
+from django.core.files.storage import FileSystemStorage
+import pickle, os
+from sklearn.preprocessing import OneHotEncoder
+from sklearn.impute import SimpleImputer
+from sklearn.preprocessing import StandardScaler
+import numpy as np
+from . import utils
+
+
+fig = None
+excel_file_name_preprocessed = "dataset_preprocessed.csv"
+excel_file_name = "dataset.csv"
+
+def home(request):
+    global fig
+    global excel_file_name
+    global excel_file_name_preprocessed
+    
+    # if file for preprocessing does not exist create it
+    if os.path.exists(excel_file_name_preprocessed) == False:
+        df = pd.read_csv(excel_file_name) 
+        df.to_csv(excel_file_name_preprocessed)
+    
+    if request.method == 'POST':
+        print("HEYEYEYEYEYE")
+        feature1 = request.POST.get('feature1')
+        feature2 = request.POST.get('feature2')
+        if 'csv' in request.POST:
+            excel_file = request.FILES["excel_file"]
+            excel_file_name = request.FILES["excel_file"].name
+            df = pd.read_csv(excel_file)
+            
+            fs = FileSystemStorage() #defaults to MEDIA_ROOT
+            request.session['excel_file_name'] = excel_file_name
+            fs.save(excel_file_name, excel_file)
+            
+            idx = excel_file_name.index('.')
+            excel_file_name_preprocessed = excel_file_name[:idx] + "_preprocessed" + excel_file_name[idx:]
+            fs = FileSystemStorage() #defaults to MEDIA_ROOT
+            request.session['excel_file_name_preprocess'] = excel_file_name_preprocessed
+            fs.save(excel_file_name_preprocessed, excel_file)
+        
+        if 'std' in request.POST:
+            preprocess(excel_file_name_preprocessed, 'std')
+        if 'onehot' in request.POST:
+            preprocess(excel_file_name_preprocessed, 'onehot')  
+        if 'imp' in request.POST:
+            preprocess(excel_file_name_preprocessed, 'imp')
+        
+        if 'plot' in request.POST:
+            fig = stats(excel_file_name, feature1, feature2)
+            
+        if 'logit' in request.POST:
+            training(excel_file_name_preprocessed, 'logit')
+        if 'xgb' in request.POST:
+            training(excel_file_name_preprocessed, 'xgb')
+    else:
+        # if not post, meaning either a lanch of the page or a refresh
+        feature1 = 'MonthlyCharges'
+        feature2 = 'tenure'
+        fig = stats(excel_file_name, feature1, feature2)
+    
+    # collect the data to render
+    df = pd.read_csv(excel_file_name)
+    data_to_display = df[:5].to_html()
+
+    request.session['data_to_display'] = data_to_display
+    request.session['excel_file_name'] = excel_file_name
+    request.session['excel_file_name_preprocessed'] = excel_file_name_preprocessed
+    labels = df.columns
+    
+    context = {'data_to_display': data_to_display, 'excel_file': excel_file_name, 'labels': labels, 'fig': fig, 'feature1': feature1, 'feature2': feature2}
+    return render(request,'base/home.html', context)
+
+def stats(name, feature1, feature2):
+    global fig
+    df = pd.read_csv(name)
+    import plotly.express as px
+    fig = px.scatter(df, x=feature1, y=feature2, color='Churn')
+    fig = fig.to_html(full_html=False)
+    return fig
+
+def preprocess(name, type):
+    from sklearn.preprocessing import StandardScaler
+    data = pd.read_csv(name)
+    
+    if set(['No','customerID','Churn']).issubset(data.columns):
+        data.drop(['No','customerID','Churn'],axis=1,inplace=True)
+    
+    if type == 'std':
+        # define standard scaler 
+        scaler = StandardScaler() 
+        # transform data
+        print("HEY")
+        num_d = data.select_dtypes(exclude=['object'])
+        data[num_d.columns] = scaler.fit_transform(num_d)
+        
+    if type=='onehot':
+        data = pd.get_dummies(data,columns=['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines',
+                            'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',
+                            'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract',
+                            'PaperlessBilling', 'PaymentMethod'],drop_first = True)
+        
+    if type == 'imp':
+        data_numeric = data.select_dtypes(exclude=['object'])
+        data_categorical = data.select_dtypes(exclude=['number'])
+        imp = SimpleImputer(missing_values=np.nan, strategy='mean')
+        data_numeric = pd.DataFrame(imp.fit_transform(data_numeric), columns = data_numeric.columns, index=data_numeric.index) #only apply imputer to numeric columns
+        data = pd.concat([data_numeric, data_categorical], axis = 1)
+        
+    os.remove(excel_file_name_preprocessed)
+    data.to_csv(excel_file_name_preprocessed)
+    return 
+
+def training(name, type):
+    global fig
+    data = pd.read_csv(name)
+    
+    y=data['Churn']
+    y=y.replace({"Yes":1,"No":0})
+    from sklearn.model_selection import train_test_split
+    X_train, X_test, y_train, y_test = train_test_split(data, y, test_size=0.2, random_state=0)
+    X_train.to_csv("X_train.csv")
+    X_test.to_csv("X_test.csv")
+    y_train.to_csv("y_train.csv")
+    y_test.to_csv("y_test.csv")
+    
+    if 'logit' == type:
+        from sklearn.linear_model import LogisticRegression
+        clf = LogisticRegression(random_state=0).fit(X_train, y_train)
+        filename = 'lg.sav' 
+        pickle.dump(clf, open(filename, 'wb'))
+
+    if 'xgb' == type:
+        from xgboost import XGBClassifier
+        xgb = XGBClassifier(learning_rate = 0.01,n_estimators=1000).fit(X_train, y_train)
+        file_name = 'xgb.sav'
+        pickle.dump(xgb,open(file_name,'wb'))
+        
+    return    

extremum/asgi.py

@@ -0,0 +1,16 @@
+"""
+ASGI config for extremum project.
+
+It exposes the ASGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.0/howto/deployment/asgi/
+"""
+
+import os
+
+from django.core.asgi import get_asgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'extremum.settings')
+
+application = get_asgi_application()

extremum/settings.py

@@ -0,0 +1,130 @@
+"""
+Django settings for extremum project.
+
+Generated by 'django-admin startproject' using Django 5.0.6.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.0/topics/settings/
+
+For the full list of settings and their values, see
+https://docs.djangoproject.com/en/5.0/ref/settings/
+"""
+
+import os
+from pathlib import Path
+
+# Build paths inside the project like this: BASE_DIR / 'subdir'.
+BASE_DIR = Path(__file__).resolve().parent.parent
+
+
+# Quick-start development settings - unsuitable for production
+# See https://docs.djangoproject.com/en/5.0/howto/deployment/checklist/
+
+# SECURITY WARNING: keep the secret key used in production secret!
+SECRET_KEY = 'django-insecure-0w^ybt_7vclag#rrutc_eo)m+l^@ml)t%jsg6n06siu)xyls+-'
+
+# SECURITY WARNING: don't run with debug turned on in production!
+DEBUG = True
+
+ALLOWED_HOSTS = []
+
+
+# Application definition
+
+INSTALLED_APPS = [
+    'django.contrib.admin',
+    'django.contrib.auth',
+    'django.contrib.contenttypes',
+    'django.contrib.sessions',
+    'django.contrib.messages',
+    'django.contrib.staticfiles',
+    'base.apps.BaseConfig',
+    'bootstrap5',
+]
+
+MIDDLEWARE = [
+    'django.middleware.security.SecurityMiddleware',
+    'django.contrib.sessions.middleware.SessionMiddleware',
+    'django.middleware.common.CommonMiddleware',
+    'django.middleware.csrf.CsrfViewMiddleware',
+    'django.contrib.auth.middleware.AuthenticationMiddleware',
+    'django.contrib.messages.middleware.MessageMiddleware',
+    'django.middleware.clickjacking.XFrameOptionsMiddleware',
+]
+
+ROOT_URLCONF = 'extremum.urls'
+
+TEMPLATES = [
+    {
+        'BACKEND': 'django.template.backends.django.DjangoTemplates',
+        'DIRS': [
+            
+            BASE_DIR / 'templates'],
+        'APP_DIRS': True,
+        'OPTIONS': {
+            'context_processors': [
+                'django.template.context_processors.debug',
+                'django.template.context_processors.request',
+                'django.contrib.auth.context_processors.auth',
+                'django.contrib.messages.context_processors.messages',
+            ],
+        },
+    },
+]
+
+WSGI_APPLICATION = 'extremum.wsgi.application'
+
+
+# Database
+# https://docs.djangoproject.com/en/5.0/ref/settings/#databases
+
+DATABASES = {
+    'default': {
+        'ENGINE': 'django.db.backends.sqlite3',
+        'NAME': BASE_DIR / 'db.sqlite3',
+    }
+}
+
+
+# Password validation
+# https://docs.djangoproject.com/en/5.0/ref/settings/#auth-password-validators
+
+AUTH_PASSWORD_VALIDATORS = [
+    {
+        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
+    },
+    {
+        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
+    },
+]
+
+
+# Internationalization
+# https://docs.djangoproject.com/en/5.0/topics/i18n/
+
+LANGUAGE_CODE = 'en-us'
+
+TIME_ZONE = 'UTC'
+
+USE_I18N = True
+
+USE_TZ = True
+
+
+# Static files (CSS, JavaScript, Images)
+# https://docs.djangoproject.com/en/5.0/howto/static-files/
+
+STATIC_URL = '/static/'
+MEDIA_URL = '/images/'
+STATICFILES_DIRS = (os.path.join(BASE_DIR,'base/static'),)
+
+# Default primary key field type
+# https://docs.djangoproject.com/en/5.0/ref/settings/#default-auto-field
+
+DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'

extremum/urls.py

@@ -0,0 +1,25 @@
+"""
+URL configuration for extremum project.
+
+The `urlpatterns` list routes URLs to views. For more information please see:
+    https://docs.djangoproject.com/en/5.0/topics/http/urls/
+Examples:
+Function views
+    1. Add an import:  from my_app import views
+    2. Add a URL to urlpatterns:  path('', views.home, name='home')
+Class-based views
+    1. Add an import:  from other_app.views import Home
+    2. Add a URL to urlpatterns:  path('', Home.as_view(), name='home')
+Including another URLconf
+    1. Import the include() function: from django.urls import include, path
+    2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
+"""
+from django.contrib import admin
+from django.urls import path, include
+from django.conf import settings
+from django.conf.urls.static import static
+
+urlpatterns = [
+    path('admin/', admin.site.urls),
+    path('', include('base.urls'))
+]

extremum/wsgi.py

@@ -0,0 +1,16 @@
+"""
+WSGI config for extremum project.
+
+It exposes the WSGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.0/howto/deployment/wsgi/
+"""
+
+import os
+
+from django.core.wsgi import get_wsgi_application
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'extremum.settings')
+
+application = get_wsgi_application()

manage.py

@@ -0,0 +1,22 @@
+#!/usr/bin/env python
+"""Django's command-line utility for administrative tasks."""
+import os
+import sys
+
+
+def main():
+    """Run administrative tasks."""
+    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'extremum.settings')
+    try:
+        from django.core.management import execute_from_command_line
+    except ImportError as exc:
+        raise ImportError(
+            "Couldn't import Django. Are you sure it's installed and "
+            "available on your PYTHONPATH environment variable? Did you "
+            "forget to activate a virtual environment?"
+        ) from exc
+    execute_from_command_line(sys.argv)
+
+
+if __name__ == '__main__':
+    main()

templates/main.html

@@ -0,0 +1,109 @@
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <meta http-equiv="X-UA-Compatible" content="'IE=edge" />
+    <title>EXTREMUM</title>
+    <meta name="viewport" content="'width=device-width, initial-scale=1" />
+    {% load static %}
+    {% load bootstrap5 %}
+    {% bootstrap_css %}
+    {% bootstrap_javascript %}
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.2/css/all.min.css">
+  </head>
+
+  <style>
+
+    .scrollit {
+      overflow: auto;
+      height: auto;
+      width: 60%;
+      max-width: fit-content;
+      margin: 0px auto;
+    }
+    
+    .dataframe {
+      font-size: 11pt;
+      font-family: Arial;
+      border-collapse: collapse;
+      margin: 25px 0;
+      font-size: 0.9em;
+    }
+
+    .dataframe thead tr {
+      text-align: left;
+      font-weight: bold;
+    }
+
+    .dataframe th,
+    .dataframe td {
+      padding: 12px 15px;
+      text-align: left;
+    }
+
+    .dataframe tbody tr {
+      border-bottom: 1px solid #dddddd;
+    }
+
+    .dataframe tbody tr:nth-of-type(even) {
+      background-color: #f3f3f3;
+    }
+
+    .dataframe tbody tr:last-of-type {
+      border-bottom: 2px solid #009879;
+    }
+
+    /* CSS */
+    .button-6 {
+      align-items: center;
+      background-color: #FFFFFF;
+      border: 1px solid rgba(0, 0, 0, 0.1);
+      border-radius: .25rem;
+      box-shadow: rgba(0, 0, 0, 0.02) 0 1px 3px 0;
+      box-sizing: border-box;
+      color: rgba(0, 0, 0, 0.85);
+      cursor: pointer;
+      display: inline-flex;
+      font-family: system-ui,-apple-system,system-ui,"Helvetica Neue",Helvetica,Arial,sans-serif;
+      font-size: 16px;
+      font-weight: 600;
+      justify-content: center;
+      line-height: 1.25;
+      margin: 0;
+      min-height: 3rem;
+      padding: calc(.875rem - 1px) calc(1.5rem - 1px);
+      position: relative;
+      text-decoration: none;
+      transition: all 250ms;
+      user-select: none;
+      -webkit-user-select: none;
+      touch-action: manipulation;
+      vertical-align: baseline;
+      width: auto;
+    }
+
+    .button-6:hover,
+    .button-6:focus {
+      border-color: rgba(0, 0, 0, 0.15);
+      box-shadow: rgba(0, 0, 0, 0.1) 0 4px 12px;
+      color: rgba(0, 0, 0, 0.65);
+    }
+
+    .button-6:hover {
+      transform: translateY(-1px);
+    }
+
+    .button-6:active {
+      background-color: #F0F0F1;
+      border-color: rgba(0, 0, 0, 0.15);
+      box-shadow: rgba(0, 0, 0, 0.06) 0 2px 4px;
+      color: rgba(0, 0, 0, 0.65);
+      transform: translateY(0);
+    }
+    
+  </style>
+
+  <body>
+    {% block content %} {% endblock content %}
+  </body>
+</html>

templates/navbar.html

@@ -0,0 +1,5 @@
+<a href="/" class="mx-auto p-4 text-center bg-white shadow-sm">
+    <h1>
+        EXTREMUM
+    </h1>
+</a>