armandobs14 / udemy_machine_learning_a_z

Course Repository

udemy_machine_learning_a_z

Course Repository

chapters:

1. Data Preprocessing

   • Python
   • R

2. Regression

   • Simple Linear Regression
     • Python
     • R
   • Multiple Linear Regression
     • Python
     • R
   • Polynomial Regression
     • Python
     • R
   • Support Vector Regression (SVR)
     • Python
     • R
   • Decision Tree Regression
     • Python
     • R
   • Random Forest Regression
     • Python
     • R

3. Classification

   • Logistic Regression
     • Python
     • R
   • KNN
   • SVM
   • Naive Bayes
   • Decision Tree Classification
   • Random Forest Classification

4. Clustering

   • K-Means
   • Hierarchical Clustering
     • Python

5. Association Rule

   • Apriori
     • Python
   • Eclat
     • Python

6. Reinforcement Learning

   • UCB
   • Thompson Sampling

7. Natural language Processing

8. Deep Learning

   • Artificial Neural Networks
   • Convolutional Neural Networks

9. Dimensionality Reduction

   • PCA
   • LCA
   • Kernel PCA