Pinned Repositories
002_MachineLearning_eBook
100-Days-Of-ML-Code
100 Days of ML Coding
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
2015
Public material for CS109
2015-slides
Slides and talk assets from PyCon 2015
2018-cs109b
Harvard CS109b Public Repository
6.892-public
Course information for 6.892 (Spring 2017)
Blockchain-Datashark
Final project for Dev Decal Fa 2017
nsrinivasapps's Repositories
nsrinivasapps/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
nsrinivasapps/dx
DX Analytics
nsrinivasapps/DataScienceResources
Open Source Data Science Resources.
nsrinivasapps/sklearn_tutorial
Materials for my scikit-learn tutorial
nsrinivasapps/saas-startup-checklist
SaaS Startup Checklist
nsrinivasapps/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
nsrinivasapps/002_MachineLearning_eBook
nsrinivasapps/data-science-at-the-command-line
Data Science at the Command Line
nsrinivasapps/scikit-learn-videos
IPython notebooks from the scikit-learn video series
nsrinivasapps/DAT5
General Assembly's Data Science course in Washington, DC
nsrinivasapps/setup
AWS EC2 setup files for Startup Engineering MOOC.
nsrinivasapps/Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
nsrinivasapps/Kaggle
Containing codes of participation in Kaggle competitions.
nsrinivasapps/Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
nsrinivasapps/how-to-start-a-startup
Everything we know about how to start a startup, for free, from some of the world experts. An open course by Stanford and Y Combinator.
nsrinivasapps/2015
Public material for CS109
nsrinivasapps/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
nsrinivasapps/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
nsrinivasapps/UnbalancedDataset
Python module to perform under sampling and over sampling with various techniques.
nsrinivasapps/building-spark-applications-live-lessons
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
nsrinivasapps/cs5356
Curriculum and lectures for 'Startup Systems Design and Engineering'.
nsrinivasapps/go
The Open Source Data Science Masters
nsrinivasapps/pycon2015_talk
The slides, code examples and resources for the PyCon 2015 Ireland talk on building data pipelines
nsrinivasapps/scipy_2015_sklearn_tutorial
Scikit-Learn tutorial material for Scipy 2015
nsrinivasapps/data_science_python
Source code for the "Practical Data Science in Python" tutorial
nsrinivasapps/techblog
Technical blog articles
nsrinivasapps/datasciencecoursera
nsrinivasapps/datasharing
The Leek group guide to data sharing
nsrinivasapps/2015-slides
Slides and talk assets from PyCon 2015
nsrinivasapps/blockchain-programming
Links to online resources about cryptocurrency and decentralized application development