The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A day to day plan for this challenge. Covers both theoritical and practical aspects

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.

ML-algorithms from scratch using Python. Classic Machine Learning course.

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

Using machine learning algorithms to predict first innings score in limited overs cricket matches

Implementation of a Partial Least Squares Regressor

Machine learning Regression problem with easy understandable solutions

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Notebooks and Python about data science

A new library for all of the newest ai algorithms

An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".

Slides and Python code examples for undergraduate machine learning

It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.

Sparse Spectrum Gaussian Process Regression