Learning to create Machine Learning Algorithms
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Updated
Jun 15, 2021 - Python
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
performs simple linear regression over a given dataset
machine learning regression
Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using simple linear regression.
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 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 Assignment
Machine Learning Models using Python (Regression)
Simple machine learning model using linear regression to predict weather
Simple linear regression, multiple linear regression, nonlinear regression projects.
Death age calculator model based on the number of cigarettes consumed in a day
Machine Learning Algorithms Practicals in Python with Datasets
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