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algorithms

A collection of algorithms and data structures

deterministic_poker

Playing Poker Determinstically

fraud_detection_codata

Fraud Detection on Credit card data

gstore-revenue-prediction

Predict how much GStore customers will spend

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

human-activity-classification-research

This research project will study how people walk and run in daily life, data is collected from Inertial Measurement Units (IMUs) attached to an individual’s feet. Raw data includes linear accelerations and angular velocity in all three dimensions. Unfortunately, experimental data is often of low quality with lots of noise and drift.

hypothesis-testing

e Michelson data set from the HistData package

inferencial-statistics

learn-natural-language-processing-curriculum

This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

loandefault-prediction

Lending Club Loan data analysis

news-data-for-stock-prediction

Screening and Analyzing News data to Predict Stock Price Movements. Market Data provided by Intrinio. News Data by Thomas Rueters

object_detect_flask_yolo

object detection with YOLO3

predicting_winning_teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

reinforcement-learning-specialization

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

semantic-similarity-of-sentences

Methods used: Cosine Similarity with Glove, Smooth Inverse Frequency, Word Movers Difference, Sentence Embedding Models (Infersent and Google Sentence Encoder), ESIM with pre-trained FastText embedding. Best performing method on Quora Question pair dataset was an Ensemble method with 0.27 log-loss.

sfnet_survey

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

text-feat-lib

Provide a comprehensive list of tokenizers, features, and general NLP things used for text analysis with examples. The initial focus is on features used for twitter data and sentiment analysis.

tidy-text-mining

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson