linear-regression-scratch

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

Linear Regression Machine learning The goal is to develop a model that can accurately predict salaries based on relevant features such as job title, years of experience, and education level.

Multiple Linear Regression from scratch without using scikit-learn.

Regression algorithms from scratch using NumPy, including OLS, Batch GD, Stochastic GD, Mini-Batch GD, Polynomial Regression, Ridge (L2), and Lasso (L1).

Data analysis in R and Machine Learning (scratch)

Linear regressor ML model, with just numpy and pandas

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

A simple python program with no external dependancy to predict the house rent at various locations. in Dhaka, Bangladesh.

implementation of some machine learning and deep learning models from scratch

Linear Regression build from scratch using numpy and pandas, visualized using matplotlib

Comparison of different machine learning algorithms to solve a classical problem of number recognition

Machine Learning Algorithms

This notebook aims to predict salaries based on years of experience using linear regression. The prediction is done from scratch without the use of external libraries such as the Scikit-learn library.

linear Regression model from scratch for predicting daily Covid cases in USA with regularization

A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way

My Solutions to Programming Assignments of Artificial Intelligence, Machine Learning and Digital Image Processing

Creating Linear Regression Model From Scratch

Building machine learning algorithms from scratch with Python and NumPy to understand internal mechanics, math, and training loops without external ML libraries.