This repository contains a project focused on predicting music track popularity using linear regression analysis. The analysis leverages various audio features to build a predictive model, providing insights into how features like Danceability, Energy, and others impact a track's popularity.

A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible and engaging. It offers a variety of AI-related problems for learners at different skill levels.

This app is meant to do energy forecasting but the fact that it has weather data, co2 emissions per capita data and other factors it makes the app able to predict more than just energy consumption/generation.

Piecewise linear regression-based algorithm designed to predict continuous values using micro linear regressions.

A machine learning model designed to predict housing prices using linear regression and gradient descent algorithms. This project involves feature engineering, model training, and performance evaluation to achieve accurate predictions on real-world data.

Parameter estimation using maximum likelihood

Assignment of BERN02

This repository contains all the machine learning algorithms and the ml concepts.

Course website: https://www.coursera.org/specializations/machine-learning-introduction#courses

Gradient descent algorithm to optimize a linear regression model.

Machine Learning algorithms implemented from scratch using C++

This repository contains various links for repo for implementations of machine learning algorithms from scratch using Python

In this repository I tried to implement every single function that we use in scikit learn for linear regression.

analysis on an e-commerce dataset + linear regression

Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

Implementation of different machine learning models

Bangalore Home Price Prediction uses machine learning models to predict housing prices based on features like location, size, and number of bedrooms. The project includes data preprocessing, exploratory analysis, and model building with algorithms such as Linear Regression to achieve high accuracy.