snehac-miner
Engineering Management | Delivery Management | Data and ML Engineering | Mind Management | Product Development
San Francisco
Pinned Repositories
2017-06-21-hackathon
Meetup Hackathon 06/21/2017
Amazon
Kaggle Amazon Competition
AndrewNg-MachineLearning
answer-retrieval
Sample application that shows you how to create your own answer retrieval application for StackExchange, using custom features from the Retrieve and Rank service.
BBC-Worldwide
BBCWorldWide
course-collaboration-travel-plans
engineering-management-handbook
Engineering Management Leadership handbook
scikit-learn-videos
IPython notebooks from the scikit-learn video series
statistical-analysis-python-tutorial
Statistical Data Analysis in Python
snehac-miner's Repositories
snehac-miner/scikit-learn-videos
IPython notebooks from the scikit-learn video series
snehac-miner/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
snehac-miner/Amazon
Kaggle Amazon Competition
snehac-miner/AndrewNg-MachineLearning
snehac-miner/BBC-Worldwide
snehac-miner/BBCWorldWide
snehac-miner/coding-challenge1
snehac-miner/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
snehac-miner/datasciencecoursera
snehac-miner/datasharing
The Leek group guide to data sharing
snehac-miner/DevelopingDataProducts
snehac-miner/HadoopBigDataAnalytics
snehac-miner/HadoopMapReduce
Hi I'm an aspiring data scientist. I'm a masters student in Data Analytics at Carnegie Mellon.
snehac-miner/HDP-Certification
This directory contains scripts to practice for HDP Certified developer exam
snehac-miner/hive-extension-examples
Examples for extending hive
snehac-miner/JAVA-CODE
Random
snehac-miner/MachineLearningAndrewNg
snehac-miner/measurements
snehac-miner/MVLTSS
snehac-miner/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
snehac-miner/redis
Automatically exported from code.google.com/p/redis
snehac-miner/slidify
snehac-miner/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)