A day to day plan for this challenge. Covers both theoritical and practical aspects
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Updated
Feb 6, 2023 - Jupyter Notebook
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
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Using machine learning algorithms to predict first innings score in limited overs cricket matches
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…
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.
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
Predicting the age of abalone using multiple regression in R
Visual regression testing made easy. Automating the boring stuff
An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.
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.
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
Implementation of a Partial Least Squares Regressor
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
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