prakhar1989 / csds-materialLinks
Course material for the Computer Systems for Data Science class at Columbia
☆45Updated 7 years ago
Alternatives and similar repositories for csds-material
Users that are interested in csds-material are comparing it to the libraries listed below
Sorting:
- Example coding interview problems found through online resources, Cracking the Code book, mentors and colleagues. An additional robust re…☆309Updated 10 years ago
- the best machine learning tutorials on the web☆473Updated 14 years ago
- This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apach…☆116Updated last year
- ciel(tyama)'s programming contest solutions (Most of codeiq solutions are isolated to another repo)☆116Updated 3 weeks ago
- Translating R Data Analyses to Python☆280Updated 7 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- tutorial for sentiment analysis on Twitter data using Python☆132Updated 8 years ago
- Python solutions for the book Cracking the Coding Interview☆122Updated 14 years ago
- Lecture notes and assignments for coursera machine learning class☆95Updated 12 years ago
- Collection of great (and free) machine learning books☆118Updated 3 years ago
- Solutions to programming challenges and algorithmic problems☆55Updated 12 years ago
- Udacity Machine Learning Engineer Nanodegree☆31Updated 9 years ago
- A collection of tools to collect and download various data.☆210Updated 8 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Notes for several Machine Learning and Deep Learning courses, textbooks, and talks☆58Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆234Updated last year
- https://www.hackerrank.com/domains/algorithms/☆112Updated 5 years ago
- Code & Data for Introduction to Machine Learning with Scikit-Learn☆81Updated 7 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- Algorithms I learned from Stanford's Algorithms: Design and Analysis☆78Updated 5 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 7 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Introduction to Deep Learning☆126Updated 9 years ago
- Sharing interesting and noteworthy Data Engineering content☆69Updated 9 years ago
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 9 years ago
- materials for General Assembly Data Science DC course☆81Updated 10 years ago
- Summaries and notes on Deep Learning research papers☆32Updated 9 years ago
- brief introduction to Python for machine learning☆27Updated 9 years ago
- ☆196Updated 12 years ago