hamdyMostafa's repositories
ML-Fundamentals
This repo will contain my work in machine learning
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
textbook
The textbook Computational and Inferentinal Thinking: The Foundations of Data Science
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Machine-Learning
Learning Algorithms
termcolor
fork of termcolor Python library
awesome-courses
:books: List of awesome university courses for learning Computer Science!
r4ds
R for data science
data-science
:bar_chart: Path to a free self-taught education in Data Science!
datasciencecoursera
A repo for my Data Science Specialization track
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python
zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
scikit-learn
scikit-learn: machine learning in Python
HappyBirthday-term
A terminal based Happy Birthday card
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Dato-Core
The open source core of the GraphLab ML library
doing_data_science
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
int-py-notes
Notebooks from Intermediate Python videos
coursera-android
Source Code for Android Course Example Applications
graphlab
A framework for large-scale machine learning and graph computation.
go
The Open Source Data Science Masters
awesome-python
A curated list of awesome Python frameworks, libraries and software
datascience
Introduction to Data Science - Bill Howe -- Spring 2013/4