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17_classification

17 Classification Algorithms using R

2015lab1

2015lab10

2015lab11

Overview of a project: Food Inspection Forecasting

2015lab2

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

2015lab5

Lab 5, the first on Machine Learning!

2015lab6

2015lab7

Decison Trees, Random Forrests, Ensemble Methods

2015lab8

AWS, Vagrant, and Spark

2015lab9

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bios366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

blackflamingo

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

cracking-the-coding-interview

Python solutions for the book Cracking the Coding Interview

cricketr

This package can be used to analyze performances of cricketers based on stats from ESPN Cricinfo

ctci

Cracking the Coding Interview

dat8

General Assembly's Data Science course in Washington, DC

data-mining-with-r

data_mining_with_r

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

data-wrangling-pycon

Repository for Introduction to Data Analysis at EuroPython 2015

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep_learning_experiments

A collection of small Deep Learning projects I work on while studying different algorithms like LSTM, GRU, ConvNets, Auto Encoders, etc

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

dsp

data science preparation

ensemble

Ensemble Approach for Machine Learning