tapishsharma / Machine-Learning

Machine learning basics

Machine Learning

Machine Learning Algorithms and models in Python

TOPICS:-

1. Data Preprocessing

2 Regression -simple linear -Multiple linear -Polynomial -Support Vector -Decision Tree -Random Forest

3. Cassification Models
   • Logistic Regression
   • K-Nearest Neighbors (K-NN)
   • Support Vector Machine (SVM)
   • Kernel SVM
   • Naive Bayes
   • Decision Tree Classification
   • Random Forest Classification

4.Clustering - K-Means Clustering - Hierarchical Clustering

5.Association Rule Learning Models - Apriori - Eclat

6.Reinforcement Learning

7.Natural Language Processing

8.Deep Learning

-ANN
-CNN

9.Dimensionality Reduction techniques

10.Model Selection and XGBoost