Machine Learning Algorithms and models in Python
TOPICS:-
- Data Preprocessing
2 Regression -simple linear -Multiple linear -Polynomial -Support Vector -Decision Tree -Random Forest
- 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