🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, and practical HR applications.

This repository gathers the essential Machine Learning algorithms coded from scratch using only numpy and sklearn

Python implementations of basic machine learning algorithms

A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

Applied modern C/C++ in calculus, discrete mathematics, robotics and machine learning with CMake.

This repository consists of files required to deploy a **Machine Learning** Web App created with **Flask**

An Interactive Repository for Immersive Algorithmic Exploration and Learning.

In this repository I have explained different ML Algorithms with their code.

A web app for beginners in Machine Learning and Data Science to fiddle with different parameters of various ML algorithms on the Framingham Heart Disease dataset.

A hands-on collection of machine learning concepts, algorithms, and practical implementations. Designed to help learners and practitioners apply ML techniques with clarity and efficiency. 🚀

Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .

A comprehensive collection of machine learning algorithms, implementations, and experiments covering various aspects of data science and artificial intelligence.

Model Archive

Machine learning projects and tutorials, showcasing practical applications and implementations using Python and various machine learning libraries.

Lightweight Machine Learning Library

A Machine Learning approach to detect Malwares in the system.

A Bidirectional LSTM model to classify whether a given tweet talks about a real disaster or not. This was my project in "CSC 522: Automated Learning and Data Analysis" course at NC State University.

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables.Decis…