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100-days-of-algorithms

100 days of algorithms

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

2015-slides

Slides and talk assets from PyCon 2015

2017-dlsl-msc-team1

Sentiment Analysis with RNN

3d-human-detection

a-recsys

A Tensorflow based implicit recommender system

abandittesting

No Regrets: A deep dive comparison of bandits and A/B testing

acm-recsys-2018

advanced-lane-and-vehicle-detection

This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.

advbayeslearncourse

Course material for the PhD course Advanced Bayesian Learning at Linköping University

adventofcode

My solutions for advent of code

agiletrainer

Agile Trainer for Udacity SDC Simulator

ai-nanodegree

Project solutions for Udacity's AI Nanodegree Program

aima

Solutions to AIMA (Artificial Intelligence: A Modern Approach)

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

airbnb_app

Insight Project - BestBnB: Find and AirBnB to match your lifestyle and wallet

airbnbscrape

Python Function To Scrape Airbnb

aj_ml_library

This library is a wrapper for sklearn and works with data stored using Pandas module.

algorithms

Data Structures and Algorithms in Python

algorithms-and-ds-notes

My understanding about Algorithms and DS

amazon_forest_computer_vision

Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

analytics_vidhya_3.x_hackathon

Codes for the Analytics Vidhya Hackathon 3.X

analyticsvidhya_lastmanstanding

Last Man Standing competition on AnalyticsVidhya

analyticsvidhya_smartrecruit

The Smart Recruit competition on AnalyticsVidhya

analyticvidhya_bigmartsalesprediction

andrew-ng-machine-learning-programming-solutions-

open course on coursera.org Stanford University

anime-recommendation-engine

creating a recommendation engine for anime based on model based collaborative filtering

apache-spark-2x-machine-learning-cookbook

Apache Spark 2x Machine Learning Cookbook, published by Packt

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

applied-deep-learning

Source Code for 'Applied Deep Learning' by Umberto Michelucci