Machine Learning Projects Repository

This section provides an overview of the repository for machine learning projects. Whether you are a beginner or an experienced data scientist, you can find various projects here that showcase different aspects of machine learning.

Projects Overview

• Classification Projects

  • Binary Classification
  • Multi-class Classification

• Regression Projects

  • Linear Regression
  • Non-linear Regression

• Clustering Projects

  • K-means Clustering
  • Hierarchical Clustering

• Reinforcement Learning Projects

  • Q-Learning
  • Policy Gradient Methods

Binary Classification

Binary classification is a common task in machine learning, where the goal is to predict whether an instance belongs to one of two classes.

• Example Project

Multi-class Classification

Multi-class classification involves predicting one of several classes.

• Example Project

Linear Regression

Linear regression is used to predict a continuous outcome variable based on one or more predictor variables.

• Example Project

Non-linear Regression

Non-linear regression is used when the relationship between the independent and dependent variables is not linear.

• Example Project

K-means Clustering

K-means clustering is a partitioning technique that divides the dataset into K distinct, non-overlapping subgroups (clusters).

• Example Project

Hierarchical Clustering

Hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters.

• Example Project

Q-Learning

Q-Learning is a value-based algorithm that works on the principle of reinforcement learning.

• Example Project

Policy Gradient Methods

Policy gradient methods are a class of reinforcement learning algorithms that estimate the policy directly.

• Example Project