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app.py

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+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import warnings
+warnings.filterwarnings('ignore')
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import mean_squared_error, r2_score
+from sklearn.compose import ColumnTransformer
+from sklearn.preprocessing import OneHotEncoder, StandardScaler
+from sklearn.pipeline import Pipeline
+import streamlit as st
+
+# Veri okuma
+df = pd.read_excel('Untitled3.xlsx')
+
+y = df.BIST30
+X = df.drop(['BIST30','Date','AylıkVadeliMevudatFaizOranı', 'TÜFE', 'İmalatSanayiKapasiteKullanımOranı','YiÜFE', 'USDTL',
+             'SanayiÜretimEndeksi', 'TüketiciGüvenEndeksi', 'LnBist', 'LnAylıkMFO','LnYİÜFE','LnSÜE','ZBIST30',
+             'ZLnBist', 'COO_1'], axis=1)
+
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# Ön işleme adımları
+preprocess = ColumnTransformer(transformers=[
+    ('num', StandardScaler(), ['LnTUFE','LnİSKO','LnUSDTL','LnTGE']),
+])
+
+# Model tanımlama
+model = LinearRegression()
+pipe = Pipeline(steps=[('preprocessor', preprocess), ('model', model)])
+
+# Modeli eğitme
+pipe.fit(X_train, y_train)
+
+# Tahmin ve değerlendirme
+y_pred = pipe.predict(X_test)
+print("Root Mean Squared Error: ", mean_squared_error(y_test, y_pred) ** 0.5)
+print("R^2 Score: ", r2_score(y_test, y_pred))
+
+
+def fail():
+    input_data = pd.DataFrame({
+        'LnTufe': [LnTUFE],
+        'LNİSKO': [LnİSKO],
+        'LnUSDTL': [LnUSDTL],
+        'LnTGE': [LnTGE]
+
+    })
+    prediction = pipe.predict(input_data)[0]
+    return prediction
+
+
+st.title("Bist30 Tahmini: @YED")
+st.write("Lütfen Aşağıdaki bilgileri giriniz.")
+LnTUFE = st.number_input("LnTufe", 0, 10000)
+LnİSKO = st.number_input("LnİSKO", 0, 10000)
+LnUSDTL = st.number_input("LnUSDTL", 0, 10000)
+LnTGE = st.number_input("LnTGE", 0, 10000)
+
+if st.button("Predict"):
+	pred=price(make,model,trim,mileage,car_type,cylinder,liter,doors,cruise,sound,leather)
+
+	st.write("Bist30 Tahmini :",round(pred,2))