Welcome to the Machine Learning and Deep Learning Projects Repository! This repository serves as a collection of practical projects showcasing various machine learning and deep learning techniques. Each project provides hands-on experience and helps you improve your skills in the field.
- Project 1: Sonar Rock vs Mine Prediction using Logistic Regression
- Project 2: Diabetes Prediction using SVM
- Project 3: Multivariate Linear Regression
- Project 4: Decision Tree
- Project 5: K-means Clustering
- Project 6: Apriori Algorithm
- Project 7: Backpropagation from scratch using synthetic data
Each project follows a similar structure:
- Description: A detailed overview of the project, including its objectives, techniques utilized, and notable findings.
- Notebooks: Jupyter notebooks containing the project code, including data preprocessing, model training, evaluation, and visualization.
- Data: Data files or instructions on acquiring the required datasets for the project.
- Results: Results, such as trained models, evaluation metrics, and visualizations.
To begin a project, navigate to its directory and refer to the instructions provided in the project's README.md file. Ensure that you have the necessary dependencies installed and any required datasets downloaded.