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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

api-cheat-sheet

API Design Guidelines and Best Practices Cheat Sheet

awesome-deep-learning

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

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

class06-final-project

Main repository for the final project for Class 06

coursera-machine-learning-lecture-pdfs

Reading material with detailed explanation

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

databases

Course notes and examples in MySQL and Mongo from database systems class

dbms

Database Management and SQL Server

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

esp8266-fastled-webserver

front-end-guide

📚 Study guide and introduction to the modern front end stack.

html-css

Module 1

hyf-html-css

WebDeveloping

interactive_design

linux

node-babel

A minimal boilerplate for running Node.js with Babel, Webpack 4 or Rollup

node-scaffolder

node-scaffolder is an interactive command line tool to scaffold Node.js project quickly. No more copy and paste!

nodejs

python

rawdata

RawDataPro

reactjs

React Learning

simple-react-full-stack

Boilerplate to build a full stack web application using React, Node.js, Express and Webpack.

simple_crud

sova1

sova4

sovaraw3

testp

udacity-nanodegrees

:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula