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amexpert_ml_hackathon_2019_winners_soultions

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

black-friday

black_friday

Winning solution of Online Hackathon - Black Friday

competitions

Competition repository

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

find_meetup_groups

flask-blog

Simple blog in Flask

food-chatbot

frontend-nanodegree-resume

go

The Open Source Data Science Masters

innoplexus_sentiment_analysis_top_solutions

Winners' code for Innoplexus Sentiment Analysis Hackathon: https://datahack.analyticsvidhya.com/contest/innoplexus-online-hiring-hackathon/

janatahack-recommendation-systems-benchmark-solution

kaggle_insults

Kaggle Submission for "Detecting Insults in Social Commentary"

ltfs-data-science-finhack2

matplotlib-gallery

Examples of matplotlib codes and plots

pandas-cookbook

Recipes for using Python's pandas library

pycon_2014

How to get started with Machine Learning - linear regression example code

pydata-book

Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pylearn2

A Machine Learning library based on Theano

python_advanced_hackathon

python_intro_hackathon

random-

real-python-test

Few test projects from Real Python

scipy2015-blaze-bokeh

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

the_smart_recruits

wns_analytics_wizard_2019

Winners' solution approach and code for WNS Analytics Wizard 2019