Open Source Projects

I have 42 projects on Github

recommendation-systems-with-python

This repo is the codes and exercises for Recommendation Systems with Python book

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PipeLearn

Enhancement of SKLearn Pipeline

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pgfplot-extensions

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NotAQuiteBase

This is a javascript based layer helping to stucture and validate the incomming data.

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WhackHack

A ttrack platform for ITSM made for vodafone hackathon by WhackHack team

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udacity-nanodegrees

:mortar_board: List of all Udacity Nanodegree programs with links to the free courses in their curricula

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Surprise

A Python scikit for building and analyzing recommender systems

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StatisticsReferences

all about statistics as single-variate for noops and pros

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sportsJournalTwo

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Sports-Journal

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sheets

Sheets and Article in machine learning and similar topics

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RepData_PeerAssessment

A new assignment for coursera datascience toolbox

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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ProgrammingAssignment2

R Programming course assignment

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PacktBooks

all free deals from PacktPub.

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neural-network-papers

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ML-From-Scratch

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

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mcq

A fully php-ajax project for mcq with testing to ensure project acceptance

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koel-app

The desktop application for Koel.

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Human-Activity-Recognition-Using-Smartphones-Data-Set

Getting and Cleaning Human Activity Recognition Using Smartphones Data Set

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HishamElamir.github.io

Personal Website

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go

The Open Source Data Science Masters

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gist-downloader

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First_Meeting_Materials

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ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

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datavore

A small, fast, in-browser database engine written in JavaScript.

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datasharing

The Leek group guide to data sharing

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datasciencecoursera

data scientist's toolbox course

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DataModels

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d3-shape

Graphical primitives for visualization, such as lines and areas.

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d3-scale

Encodings that map abstract data to visual representation.

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d3-axis

Human-readable reference marks for scales.

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coursera--practical-machine-learning

practical machine learning course on courser

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coursera--data-products

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computer-vision-models

An implementation for few computer vision models

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ChartsLab-Scale

preemptive for encoding that map abstract data to visual representation.

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ChartsLab-Axis

preemptive for human-readable reference marks for scales.

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ChartsLab

preemptive for data visualization and grammar of graphics

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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awesome-electron

Useful resources for creating apps with Electron

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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adversarial-representation-active-learning

Adversarial Representation Active Learning

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