P7h / IntroToHadoopAndMR__Udacity_CourseLinks
Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"
☆118Updated 11 years ago
Alternatives and similar repositories for IntroToHadoopAndMR__Udacity_Course
Users that are interested in IntroToHadoopAndMR__Udacity_Course are comparing it to the libraries listed below
Sorting:
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆261Updated 8 years ago
- This is the companion curriculum to my guide to becoming a data scientist.☆403Updated last year
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Harvard CS109b Public Repository☆237Updated 5 years ago
- Udacity's Machine Learning Nanodegree project files and notes.☆254Updated 9 years ago
- Coursera Machine Learning - Python code☆866Updated 5 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆330Updated 2 years ago
- These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube☆246Updated 5 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆437Updated 4 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 7 years ago
- Guide explaining and implementing fundamental machine learning algorithms in Python☆172Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆302Updated 6 years ago
- Repo cataloging my coursework for Andrew Ng's ML MOOC☆146Updated 5 years ago
- Jupyter notebook for Udemy course: Python data science and machine learning bootcamp☆225Updated 8 years ago
- ☆213Updated 4 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- These are my learning exercices from Coursera☆216Updated 4 years ago
- Implementing machine learning algorithms from scratch.☆387Updated 4 years ago
- Full Stack Data Science in Python☆257Updated 7 years ago
- Complete path for a beginner to become a Machine Learning Scientist!☆339Updated 7 years ago
- University of Washington☆326Updated 8 years ago
- Interview stuff for friends☆84Updated 2 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.☆154Updated 2 years ago
- Curated list of project-based tutorials☆87Updated 7 years ago
- This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.☆53Updated 7 years ago
- ☆432Updated 6 years ago
- Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.☆95Updated 8 years ago
- Stanford University - Machine Learning by Andrew Ng☆86Updated 7 years ago