Srinivas Nakka's repositories
python-resources
Resources for Learning Python
apiai-python-client
Python library for API.AI
AINanodegree
Udacity's Artificial Intelligence Nanodegree Projects
data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
course
CME212 Course Information
lectures
Oxford Deep NLP 2017 course
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
engineering-blogs
A curated list of engineering blogs of startup and enterprise companies
Predictive-Analytics-with-Spark-in-HDInsight
Course files for Predictive Analaytics with Spark in HDInsight Course
shrinivaass.github.io
Data Science Profile
basic-blockchain-programming
Sample code from my blog series "Basic blockchain programming".
python-deliberate-practice
Deliberate Practice for Learning Python
MLNanoDegree
Udacity Machine Learning NanoDegree Projects
self-driving-car
Information about the Udacity open source self-driving car project
machine-learning
Content for Udacity's Machine Learning curriculum
pelican-ipynb
Pelican plugin for blogging with Jupyter/IPython Notebooks
TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
startup-ideas
The Startup Ideas course at Cornell Tech (CS 5092).
Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
tensorflow-nlp-tutorial
Code from 6.806 TensorFlow Tutorial Presentation
pydata-chicago2016-ml-tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python