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

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

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

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

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.

Implementation of a Partial Least Squares Regressor

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

Machine learning Regression problem with easy understandable solutions

Notebooks and Python about data science

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

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…

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.

A new library for all of the newest ai algorithms

Sparse Spectrum Gaussian Process Regression

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

My implementation of the regression algorithms

Slides and Python code examples for undergraduate machine learning

Visual regression testing made easy. Automating the boring stuff