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master-degree-diary

Project codes and reports @TelecomParisTech

mathematicaforprediction

Mathematica implementations of machine learning algorithms used for prediction and personalization.

microsoft-dat210x-programming-with-python-for-data-science

MOOC completed on edX

mooc-data

MOOC-data-tools

mooc-python

Exercise from the MOOC - Python

mooc-python-learn

LearnPython For MOOC

moocs-python

moocsv

Librería de Python para procesar datos basados en Formularios de Google en formato CSV

moocviz

Interactive visualizations of edX data. Summer 2014.

moocx

My notes for the MOOCs

movie-recommender

Simple Python code for Machine Learning collaborative filtering based recommender system

moviesuccessprediction

A machine learning project to predict if a movie is going to be a blockbuster or flop. In this project we aim to collect data from various sources like Twitter and Youtube comments, and perform classification of postivity of these tweets and comments. Our model uses these values to predict success of a movie in the scale of 1 to 5, where 5 being blockbuster and 1 being flop. Various classification algorithms like SVM, Naive Bayes, Maximum Entropy are implemented and accuracy is compared. We uses Python as primary language of implementation.

mrec

A recommender systems development and evaluation package by Mendeley

news-popularity-prediction

Implemented two(SVM and Random Forest) machine learning based classification algorithm to classify news articles in two(Low/Highly popular) and three(Low/Moderate/Highly popular) classes given certain no. of features. can be in .

online-relationship-learning

Unsupervised ML algorithm for predictive modeling and time-series analysis

openedx

pip

The PyPA recommended tool for installing Python packages

practice_code

algorithms, data structures and other misc practice code

predict-click-through-rates-on-display-ads

Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.

problem-solving-with-algorithms-and-data-structures-using-python

Examples and work from Problem Solving with Algorithms and Data Structures Using Python

problem-solving-with-algorithms-and-data-structures-using-python-1

Problem Solving with Algorithms and Data Structures using Python

problem-solving-with-algorithms-and-datastructures

使用 python 学习数据结构与算法

programming-for-everybody-python

Programming for Everybody (Python)

programming-for-everybody-python-

Programming for Everybody (Python)

pyalgodatastructures

Implementations of various algorithms for practice, understanding and reference.

pydsa

Python Data Structure and Algorithms

pyreco

Type discovery for Python

python

**大学MOOC Python语言程序设计

python-algorithms

This repository contains the code associated with the "Working With Algorithms In Python" Safari Video. http://shop.oreilly.com/product/110000667.do

python-and-algorithms-and-data-structures

A comprehensive study of Algorithms & Data Structure in Python, including an "ebook" that I wrote. Several exercises and examples.