Files

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
graphics
.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
eclat.py
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

datasets

Aug 21, 2021

d16831a · Aug 21, 2021

Name	Name	Last commit message	Last commit date
parent directory ..
Ads_CTR_Optimisation.csv	Ads_CTR_Optimisation.csv	Düzeltme	Nov 6, 2019
AirPassengers.csv	AirPassengers.csv	Air Passengers Seasonal Data	Apr 23, 2020
Churn_Modelling.csv	Churn_Modelling.csv	Düzeltme	Nov 6, 2019
Index2018.csv	Index2018.csv	Add files via upload	Apr 1, 2020
Index2020.csv	Index2020.csv	Add files via upload	Apr 1, 2020
Iris.xls	Iris.xls	Düzeltme	Nov 6, 2019
RandWalk.csv	RandWalk.csv	Add files via upload	Apr 1, 2020
Restaurant_Reviews.csv	Restaurant_Reviews.csv	Düzeltme	Nov 6, 2019
Social_Network_Ads.csv	Social_Network_Ads.csv	Düzeltme	Nov 6, 2019
WB.csv	WB.csv	Düzeltme	Nov 6, 2019
WaterPotability.ipynb	WaterPotability.ipynb	Add files via upload	Aug 21, 2021
Wine.csv	Wine.csv	Düzeltme	Nov 6, 2019
eksikveriler.csv	eksikveriler.csv	Düzeltme	Nov 6, 2019
maaslar.csv	maaslar.csv	Düzeltme	Nov 6, 2019
maaslar_yeni.csv	maaslar_yeni.csv	Düzeltme	Nov 6, 2019
musteriler.csv	musteriler.csv	Düzeltme	Nov 6, 2019
odev_tenis.csv	odev_tenis.csv	Düzeltme	Nov 6, 2019
satislar.csv	satislar.csv	Düzeltme	Nov 6, 2019
segmentation data.csv	segmentation data.csv	Customer Analytics Dataset	Apr 4, 2020
sepet.csv	sepet.csv	Düzeltme	Nov 6, 2019
veriler.csv	veriler.csv	Düzeltme	Nov 6, 2019

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