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100-days-of-ml-code

100 Days of ML Coding

100daysofstatandmath

This repository contains code and supporting files for 100 days of statistics and mathematics series which I am running on LinkedIn

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ai-ml-dl

algorithms

C++ implementation of basic algorithms

aliphysics

ALICE Analysis Repository

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

aureliengeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

automation-email

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

aws-ml-guide

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

brewereader

Machine learning and computer vision to count beer consumption

car-price-prediction

cloudformation-course

files for the cloudformation course

coding

Sample codes for practice

course_aws_certified_machine_learning

coursera-machine-learning-1

Coursera's Machine Learning by Andrew Ng

coursera-machine-learning-in-python

machine learning algorithms in python from scratch

coursera-stanford-ml-python

Coursera/Stanford Machine Learning course assignments in python

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-portfolio

A Portfolio of my Data Science Projects

data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

decision-trees-for-ml

Building Decision Trees From Scratch In Python