Objective of the repository is to learn and build machine learning models using Pytorch.
List of Algorithms
- Linear Regression
- Logistic Regression
- Decision Tree
- KMeans Clustering
- Naive Bayes
- K Nearest Neighbour (KNN)
- Support Vector Machine
- tf-idf Model
- Principal Components Analysis
- Lasso and Ridge Regression
- Gradient Boosting (On the Way) or GMM
- Sklearn Library
- ML-Glossary