The repository is created as Proof of Concept (PoC) with an intention to demonstrate different Machine Learning Algorithms from scratch. The intuitions behind the algorithms and how the internal works is the main aim to learn while coding and understanding these programs.
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Naive Bayes Classification
- Apriori Association
- Support Vector Machine
- HITS Algorithm
- Page Rank Algorithm
Upcoming Updates:
- Logistic Regression
- Decision Tree
- Random Forest
- Ensemble Methods