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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.

a-to-z-resources-for-students

✅ Curated list of resources for college students

amazon-sagemaker-examples

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

angular-ebook

Contains the code for the Step-by-Step Angular Guide Ebook

backtobackswe

Legacy Code Examples For Back To Back SWE Lessons

bugtracker

Bug Tracker System Project

complete-node-bootcamp

Starter files, final projects and FAQ for my Complete Node.js Bootcamp

coursera_capstone

Coursera_Capstone

coursera_capstone-1

ctci-6th-edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

data-analysis

Data Science Using Python

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deployment-flask

dribbble2react

Transform Dribbble designs to React-Native code | Shop UI Kit >>

findaccountbot

flappy-bird-bot

frankarendpoth.github.io

Frank Poth's Github page

gamedev

JavaScript gamedev demos

github-example

This repository is just the demonstration of creating a Github repository and setting it up.

hamiltonlyrics

A realtime static page hosted on Firebase Hosting accompanying the tutorial on the Pusher blog.

handson-ml

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

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

in-depth-ml

In depth machine learning resources

interview

Interview questions

javascript-understanding-the-weird-parts

Notes from the JavaScript course by Tony Alicea

jimp

An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.

lkpy

Python recommendation toolkit

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml-react-app-template

It's a template to build a React app and interact with REST endpoints to make predictions.