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machine-learning-by-industry

A list of machine learning GitHub repos sorted by industry.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-dataschool

Detailed notes and code to learn the basics of machine learning with scikit-learn.

machine-learning-for-dummies

Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.

machine-learning-interview

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

machine-learning-resources

This cover everything you need to know if you want to learn Machine Learning from basics to advance. It covers how to do exploratory data analysis over datasets, build machine learning models, evaluate their performance and deploy them.

machine-learning-with-python

Contains all the basics of Machine Learning. Code in Python

machine-learning-with-python---basics-and-algorithms

A 'Machine learning using Python' internship at Foxmula-Y which taught me the basic algorithms of machine learning in supervised and unsupervised learning .

machine_learning_basics

Plain python implementations of basic machine learning algorithms

machine_learning_primer

Supplemental files for my Data Science presentation on the basics of machine learning

machine_learning_process_tutorial

machine_learning_techniques

In which I implement some applications of machine learning techniques.

machinelearningfundamentals

major-project_credit_default_risk_prediction

Major NBFC who wanted to predict their clients' repayment abilities, so that their client who took loans from the bank doesn't default.

masters-machine-learning-1

Codes encompassing topics on the realm of linear regression (simple and multiple), logistic regression and clustering using pca

maths-for-data-science-machine-learning

Statistics, Linear Algebra basics

mcw-big-data-analytics-and-visualization

MCW Big data analytics and visualization

mishmashhsalesprediction

Theme 1 problem statement 3 Data Science POC Usecase

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-youtube-courses

📺 A place to discover the latest machine learning courses on YouTube.

ml.smitha-kolan

ml_model_for_predicting_ships_crew_size

mlbook

Repository for the free online book Machine Learning from Scratch (link below!)

mnist-k-means-clustering

K-Means Clustering to Identify Handwritten Digits

modelevaluation

mscience_data_architecture_proposal

A short proposal for the new Big Data architecture at M Science LLC - focuses are data agility, data access, data security, data partitioning, and cost minimization

neural-network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

nyu-dlsp21

NYU Deep Learning Spring 2021