├── .gitpod.Dockerfile ├── .gitpod.yml ├── 0-ornek_bir yapay_sinir_ağı_kodu.py ├── 0-verionislemesablonu.py ├── Arima_vs_YSA_Air_Passengers.ipynb ├── Auto_ARIMA.ipynb ├── Auto_Regressive_Model.ipynb ├── Credit_Risk_Modeling_Calculating_Expected_Loss_Complete.ipynb ├── Customer_Analytics_Segmentation_with_Comments.ipynb ├── Entropy_and_CrossEntropy.ipynb ├── Entropy_and_CrossEntropy_RegaipKurt.ipynb ├── Forecasting_Time_Series.ipynb ├── Merkezi_Limit_Teoremi_RegaipKurt.ipynb ├── Normalizasyon_Standardizasyon.py ├── README.md ├── The_ARCH_Model_.ipynb ├── The_ARIMA_Model_.ipynb ├── The_ARMA_Model.ipynb ├── The_GARCH.ipynb ├── The_MA_Model.ipynb ├── The_SARIMAX_Model.ipynb ├── Untitled2.ipynb ├── WaterPotability.ipynb ├── World_Bank_Data_Model_Comparison.py ├── Yapay_Sinir_Agi_Keras.py ├── apriori.py ├── apyori.py ├── b-1-1-veri_yukleme.py ├── b-1-2-eksik_veriler.py ├── b-1-3-testegitimbolme.py ├── b-1-4-kategorikveri.py ├── b-1-5-veribirlestirme.py ├── b-10-Logistic_Regression.py ├── b-11-KNN.py ├── b-12-2-SVM ve Kernel Trick (Çekirdek Hilesi).py ├── b-13-Naive_Bayes.py ├── b-14-Decision_Tree(Sınıflandırma).py ├── b-15-Random_Forest_Classification.py ├── b-16-Siniflandirma_Sablonu.py ├── b-17-Siniflandirma_Odev.py ├── b-18.1-K_Means.py ├── b-18.2-HC_Agglomerative.py ├── b-19-kumeleme_sablon.py ├── b-2-1-satislar.py ├── b-2-2-dogrusal_regresyon_hazirlik.py ├── b-2-3-model_insasi.py ├── b-2-4-veri_gorsellestirme.py ├── b-20-Apriori.py ├── b-21-1-rasgele_yaklasim.py ├── b-21-2-UCB.py ├── b-21-3-Thomp_Samp.py ├── b-22-NLS.py ├── b-23-derin_ogrenme.py ├── b-24-PCA ve LDA.py ├── b-25-k_fold_model_secimi.py ├── b-26-grid_search.py ├── b-27-XG-Boost.py ├── b-28-Model_Kaydetme.py ├── b-29-CNN.py ├── b-3-1-coklu_dogrusal_regresyon.py ├── b-3-2-geri_eleme.py ├── b-3-3-odev.py ├── b-30-differences_between_ML_and_DL.py ├── b-4-1-polinomal_resgresyon.py ├── b-4-2-regresyon_sablonu.py ├── b-5-Support_Vektor_Regression.py ├── b-6--Decision_Tree.py ├── b-7-Random_Forest.py ├── b-8-tahmin_sablon.py ├── b-9-tahmin_algoritmalara_aciklamali_ozet.py ├── datasets ├── Ads_CTR_Optimisation.csv ├── AirPassengers.csv ├── Churn_Modelling.csv ├── Index2018.csv ├── Index2020.csv ├── Iris.xls ├── RandWalk.csv ├── Restaurant_Reviews.csv ├── Social_Network_Ads.csv ├── WB.csv ├── WaterPotability.ipynb ├── Wine.csv ├── eksikveriler.csv ├── maaslar.csv ├── maaslar_yeni.csv ├── musteriler.csv ├── odev_tenis.csv ├── satislar.csv ├── segmentation data.csv ├── sepet.csv └── veriler.csv ├── eclat.py ├── graphics ├── Dendogram.png ├── Dünya Büyüme Modeli Karşılaştırmalı.png ├── Egitim_Maas.png ├── HC_Agglomerative.png ├── KMeans.png ├── Satış_Grafik.png ├── plot_classifier.png ├── plot_iris_dataset.png └── wcss_grafik.png ├── linear_model.kayit ├── multiplication_layers.py ├── nesne_hayvan_tanıma.py ├── pandas_all.ipynb ├── plot_classifier_comparison.py ├── plot_iris_dataset.py ├── predictive_modeling_pipeline.ipynb └── qualitics.ipynb /.gitpod.Dockerfile: 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