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Name: Mr R
Type: User
Name: Mr R
Type: User
100 Days of ML Coding
Answers to 120 commonly asked data science interview questions.
Essential Cheat Sheets for deep learning and machine learning researchers
This repository contains coding interviews that I have encountered in company interviews
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Intro to Python for Data Science by Filip Schouwenaars
Resources for Oreilly's "Cracking the Data Science Interview" video series.
My notes pertaining to python programming, data analysis and visualization
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
The Swiftkey Capstone project for the Coursera Data Science Specialization
Course files for the Microsoft data Science Essentials Course
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
code for Data Science From Scratch book
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.
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Ways of doing Data Science Engineering and Machine Learning in R and Python
Coursera DataScience
common data analysis and machine learning tasks using python
A repository to store everything for learning DataScience using Python
Set of notes with links to help those who are Data Science Beginners
Full Stack Data Science in Python
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.