Learning to create Machine Learning Algorithms
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Updated
Jun 15, 2021 - Python
Learning to create Machine Learning Algorithms
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
A library for factorization machines and polynomial networks for classification and regression in Python.
This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.
Regression, Classification and Clustering
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.
The respository is for Machine learning basiscs.
Scikit learn compatible constrained and robust polynomial regression in Python
Simple linear regression, multiple linear regression, nonlinear regression projects.
A simple python program that implements a very basic Polynomial Regression on a small dataset.
This is the final year project of Big Data Programming in Python. COVID-19 cases data processed, manipulated, transformed and applied polynomial feature of linear regression in Python.COVID-19 cases data processed, manipulated, transformed and applied polynomial feature of linear regression in Python. The model is predicting the future cases cou…
Python-based web scraping and data analysis tool designed to collect vehicle listings from the Autoscout24 website.
Machine Learning From Scratch
Using the 1963 Hand proton form factor data to do example regressions.
Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python
Optimization in ML
Machine Learning models
Regression Modeling in Practice - Gapminder studies - Coursera
A programm that predicts house prices with different models
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