Learning to create Machine Learning Algorithms

Predicting wine quality using regression on the well-known UCI data set and more

Implementation of Simple and Multiple Linear Regression

machine learning regression

performs simple linear regression over a given dataset

Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python

Linear Regression from scratch

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using simple linear regression.

🎯 Data-driven Instagram growth prediction tool using interpretable linear regression. Features weekly posting frequency modeling, counterfactual analysis, ROI calculations, and professional Streamlit dashboards for creators and growth strategists.

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using simple linear regression.

This project demonstrates a basic implementation of linear regression in Python. It calculates the regression line using mathematical formulas (no Scikit-learn). The dataset contains house sizes and prices. Includes data visualization with scatter plots and a regression line.

this is example of simple linear regression

Simple Linear Regression Code for article

Machine Learning Models using Python (Regression)

Machine Learning Assignment

Simple machine learning model using linear regression to predict weather

Death age calculator model based on the number of cigarettes consumed in a day

Machine Learning Algorithms Practicals in Python with Datasets

Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.