https://github.com/alexattia/Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
https://github.com/alexattia/Data-Science-Projects

challenge hackerrank kaggle machine-learning python

Last synced: about 1 month ago
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DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

• Host: GitHub
• URL: https://github.com/alexattia/Data-Science-Projects
• Owner: alexattia
• Created: 2016-05-13T09:36:04.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-01-13T05:40:45.000Z (almost 2 years ago)
• Last Synced: 2023-11-07T14:02:33.513Z (about 1 year ago)
• Topics: challenge, hackerrank, kaggle, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 10.8 MB
• Stars: 775
• Watchers: 50
• Forks: 415
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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README

        
# Online-Challenge

Challenge submitted on HackerRank and Kaggle.

Algorithm challenges are made on HackerRank using Python.

Data Science and Machine Learning challenges are made on Kaggle using Python too. 

## [Kaggle Bike Sharing](https://github.com/alexattia/Data-Science-Projects/tree/master/KaggleBikeSharing)

The goal of this challenge is to build a model that predicts the count of bike shared, exclusively based on contextual features. The first part of this challenge was aimed to understand, to analyse and to process those dataset. I wanted to produce meaningful information with plots. The second part was to build a model and use a Machine Learning library in order to predict the count.

-->[French Explanations PDF](https://github.com/alexattia/Data-Science-Projects/blob/master/KaggleBikeSharing/Kaggle_BikeSharing_Explanations_French.pdf)

## [Twitter Parsing](https://github.com/alexattia/Data-Science-Projects/tree/master/TwitterParsing)

I've recently discovered the Chris Albon Machine Learning flash cards and I want to download those flash cards but the official Twitter API has a limit rate of 2 weeks old tweets so I had to find a way to bypass this limitation : use Selenium and PhantomJS.  

Purpose of this project : Check every 2 hours, if he posted new flash cards. In this case, download them and send me a summary email.

## [Face Recognition](https://github.com/alexattia/Data-Science-Projects/tree/master/FaceRecognition)

Modern face recognition with deep learning and HOG algorithm. Using dlib C++ library, I have a quick face recognition tool using few pictures (20 per person).

## [Playing with Soccer data](https://github.com/alexattia/Data-Science-Projects/tree/master/KaggleSoccer)

As a soccer fan and a data passionate, I wanted to play and analyze with soccer data.  

I don't know currently what's the aim of this project but I will parse data from diverse websites, for differents teams and differents players. 

## [NYC Taxi Trips](https://github.com/alexattia/Data-Science-Projects/tree/master/KaggleTaxiTrip)

Kaggle playground to predict the total ride duration of taxi trips in New York City. 

## [Kaggle Understanding the Amazon from Space](https://github.com/alexattia/Data-Science-Projects/tree/master/KaggleAmazon) 

Use satellite data to track the human footprint in the Amazon rainforest.  

Deep Learning model (using Keras) to label satellite images.

## [Predicting IMDB movie rating](https://github.com/alexattia/Data-Science-Projects/tree/master/KaggleMovieRating)

Project inspired by Chuan Sun [work](https://www.kaggle.com/deepmatrix/imdb-5000-movie-dataset)  

How can we tell the greatness of a movie ?  

Scrapping and Machine Learning