aspk Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

askedagain

Exploring MinHashing/Locality Sensitive Hashing for real-time duplicate question identification for Stack Overflow

aspk.github.io

Personal webpage of Akhilesh Khope

cern_particle_tracking

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cpp_var_kalman_filters

A C++ implementation of Kalman filters with VAR on S&P 500 stock data

cython

The most widely used Python to C compiler

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

gatekeeper

goodbooks-10k

Ten thousand books, six million ratings

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hands-on-recommendation-systems-with-python

Hands-On Recommendation Systems with Python published by Packt

insight-de-2018c-project

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mixture_model_trading_public

neat-python

Python implementation of the NEAT neuroevolution algorithm

numpy

Numpy main repository

online-a-b-testing

Online A/B testing with bayesian machine learning and epsilon greedy methods

pandas_talib

A Python Pandas implementation of technical analysis indicators

python-binance

Binance Exchange API python implementation for automated trading

python-twitter

A Python wrapper around the Twitter API.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

quora_question_pairs_nlp_kaggle

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

randomfun

Notebooks and various random fun

ratsadtarget

Data Engineering Project at Insight Data Science, RATS : Realtime Ad Target System

reddit_analyzer

Analysis of reddit for ads

reddit_sse_stream

A Server Side Event stream to deliver Reddit comments and submissions in near real-time to a client.

reinforcement-learning-feature-selection

Feature selection for maximizing expected cumulative reward

rockets

Streams new posts and comments as they are created on reddit.com