yohannes-didana Goto Github PK

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-for-time-series-with-python

Machine Learning for Time-Series with Python.Published by Packt

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

mathfordeeplearning

Source code for the book "Math for Deep Learning"

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlcourse.ai

Open Machine Learning Course

mlops-zoomcamp

Free MLOps course from DataTalks.Club

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mslearn-ai900

Lab files for AI-900: Azure AI Fundamentals

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

natural-language-processing-specialization

Natural Language Processing Specialization Courses deeplearning.ai

neural-networks-and-convolutional-neural-networks-essential-training

Linkedin Learning Course

neural-networks-and-deep-learning

deep learning Coursera

nlp-with-python-for-machine-learning-essential-training

notebooks-contrib

RAPIDS Community Notebooks

numpy-100

100 numpy exercises (with solutions)

numpy-tutorial-scipyconf-2020

Numpy-Tutorial-SciPyConf-2020

openai-cookbook

Examples and guides for using the OpenAI API

opendatasets

A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command

pandas_exercises

Practice your pandas skills!

practice-it-python-data-structs-2486182

Practice It: Python Data Structures

predictive-boston-housing-

For this project the Boston House Price dataset will be used. Each record in the database describes a Boston suburb or town. The data was drawn from the Boston Standard Metropolitan Statistical Area (SMSA) in 1970. The attributes are defined as follows (taken from the UCI Machine Learning Repository):

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-of-the-week

Learn by doing: DIY project groups at DataTalks.Club

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook