Welcome to the Machine Learning Roadmap! This comprehensive guide will take you from the basics to becoming proficient in machine learning. Whether you're a beginner or looking to expand your skills, this roadmap will provide you with a structured path to follow.
This is a starting point for my ( and can be yours ) Machine Learning journey, This Repo consist all the Prerequisites and Resource Links you need to master ML
ELEC 8900: Machine Learning [ML] | Semester III | MEng Computer Engineering
This repository contains the notes, code, and projects I have worked on as I learn about Machine Learning. This is a personal learning journey. I am simply sharing my progress with the hope that it may help others who are also learning.
Хакатон по кейсу Ростелекома - предсказание повторных покупок с помощью ML
Kaggle Dataset Access from Google Collab
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
a git repo storing ML notes that contains basic concept and easy-to-understand resources that one can find online
Jupyter Notebook as course project for AGDPM 2023 at Technical University of Sofia
React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in
Collection of Jupyter Notebooks demoed on https://www.youtube.com/stevesiedata
Basics of OOP - Help to build Objet Oriented Programming Concepts through practice (Exercise Source: Udacity's Introduction to OOP Course)
A repository of machine learning models — some coded from scratch, others leveraging scikit-learn.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
This project predicts the success of SpaceX Falcon 9 first stage landings using machine learning models. By analyzing launch data collected from the SpaceX API, it aims to determine whether a first stage will successfully land, which can significantly affect launch costs and competitive bidding.
An example of processing Lidar readings (.pcd) using the Open3D Library. The processing includes voxel grid downsampling, plane segmentation, and clustering of detections.
Add a description, image, and links to the ml-learning topic page so that developers can more easily learn about it.
To associate your repository with the ml-learning topic, visit your repo's landing page and select "manage topics."