Giriş Bölümü
  • Giriş
  • Machine Learning ve Kullanım Alanları
  • Bu Dersten Sonra Hangi Seviyede Olacağız
  • Anaconda Kurulum
  • Spyder ve Jupyter Notebook Tanıtım
  • Kaggle Tanıtım
Linear Regression
  • Dataset Tanıtımı
  • Linear Regression Nedir-1
  • Linear Regression Nedir-2
  • Linear Regression with Python
Multiple Linear Regression
  • Dataset Tanıtımı
  • Multiple Linear Regression Nedir
  • Multiple Linear Regression with Python
Polynomial Linear Regression
  • Dataset Tanıtımı
  • Polynomial Linear Regression Nedir
  • Polynomial Linear Regression with Python
Decision Tree Regression
  • Decision Tree Regression Nedir
  • Decision Tree Regression with Python
Random Forest Regression
  • Random Forest Regression Nedir
  • Random Forest Regression with Python
Evaluation Regression Models
  • Evaluation Regression Model Performance with R-Square
  • R-Square with Random Forest
  • R-Square with Linear Regression
  • Regression Ödev - 1
Logistic Regression Classification
  • Logistic Regression Giriş
  • Computation Graph
  • Logistic Regression with Computation Graph
  • Initializing Parameters
  • Forward Propagation
  • Backward Propagation-1
  • Backward Propagation-2
  • Dataset tanıtımı ve Normalization
  • Dataset Train-Test Split
  • Implementing Initializing Parameters and Sigmoid Function
  • Implementing Forward and Backward Propagation
  • Implementing Update Parameters
  • Implementing Prediction
  • Implementing Logistic Regression
  • Logistic Regression with Sklearn
  • Özet ve Logistic Regression Ödev-1
K-Nearest Neighbour (KNN) Classification
  • Dataset Tanıma
  • K-Nearest Neighbour (KNN) Nedir
  • K-Nearest Neighbour (KNN) with Python
  • K-Nearest Neighbour Ödev-1
Support Vector Machine (SVM) Classification
  • Support Vector Machine (SVM) Nedir
  • Support Vector Machine (SVM) with Python
Naive Bayes Classification
  • Naive Bayes Classification Nedir
  • Naive Bayes Classification with Python
Decision Tree Classification
  • Decision Tree Nedir
  • Dataset Tanıma
  • Decision Tree with Python
Random Forest Classification
  • Random Forest Nedir
  • Random Forest with Python
Evaluation Classification Models
  • Confusion Matrix Nedir
  • Confusion Matrix with Python
  • Classification Ödev-1
K-Means Clustering
  • K-Means Clustering Nedir
  • K-Means Clustering Evaluation
  • K-Means Clustering with Python-1
  • K-Means Clustering Python-2
Hierarchical Clustering
  • Hierarchical Clustering Nedir
  • Dendogram Nedir
  • Dataset Tanıma
  • Hierarchical Clustering with Python
  • Clustering Ödev-1
Natural Language Process (NLP)
  • Natural Language Process (NLP) Nedir
  • Dataset Tanıtımı
  • Regular Expression (RE)
  • Irrelavant Words (Stopwords)
  • Lemmatization
  • Data Cleaning
  • Bag of Words
  • Text Classification
Principal Component Analysis (PCA)
  • Principal Component Analysis (PCA) Nedir
  • Principal Component Analysis (PCA) with Python
  • Principal Component Analysis (PCA) 2D Görselleştirme
Model Selection
  • K-Fold Cross Validation
  • K-Fold Cross Validation with Python
  • Grid Search with KNN
  • Grid Search with Logistic Regression
  • Model Selection Ödev-1