milenadevtech Goto Github PK

aiprot

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

data-science--cheat-sheet

Cheat Sheets

data-science-free

Free Resources For Data Science created by Shubham Kumar

data-science-tutorials

Data Science Tutorials

data-science-with-python

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

indian-air-quality

This repository contains Python code for analysing Indian Air Quality dataset taken from Kaggle

introtohadoopandmr__udacity_course

:elephant: Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

math-for-data-science

Math for Data Science

pdswr2

Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2

practical_rl

A course in reinforcement learning in the wild

practicalai

📚 A practical approach to learning and using machine learning.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"