shikharateverest Goto Github PK

-datasci_course_materials

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

analytics_vidhya_3.x_hackathon

Codes for the Analytics Vidhya Hackathon 3.X

android-cookbook-examples

Collected code examples from the O'Reilly Android Cookbook

api-get-started

LinkedIn REST API Getting Started Tutorial

awesome-customer-analytics

A curated list of awesome customer analytics content

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

biopython-notebook

Notebooks to introduce biopython

bost.ocks.org

A website for the Bostocks.

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cbm_gear_failure

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cleveralgorithmsmachinelearning

A handbook of statistical machine learning algorithms where each algorithm is described consistently to be accessible, usable, and understandable.

client

A JavaScript client for PSI services

computer_vision_car_analyzer

Computer Vision project that uses MATLAB and shell to identify cars entering and exiting parking garage from a video

cookbook-code

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

courses

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

cross-sellingcaravaninsuranceusingdatamining

Data Mining of Caravan Insurance Data Set Using R

crossfilter-and-v3

A simple example of using Crossfilter with the Google Maps JavaScript API

cs109project

cs231n.github.io

Public facing notes page

dat4

General Assembly's Data Science course in Washington, DC

dat5

General Assembly's Data Science course in Washington, DC

dat8

General Assembly's Data Science course in Washington, DC

data-catalog

Service for storage, retrieval and searching over metadata describing data sets

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

databases_workshop

RCS Intro to Databases workshop materials

datapiques_source

Source code for my blog. Compiled code is pushed to https://github.com/EthanRosenthal/DataPiques