Pinned Repositories
2015
Public material for CS109
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
CompStats
Code for a workshop on statistical interference using computational methods in Python.
content
Official content for Harvard CS109
dagdata
Data for the HarvardX courses: PH525x
data-science-ipython-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.
datasciencecoursera
datasets
A collection of datasets of ML problem solving
datasharing
The Leek group guide to data sharing
doing_data_science
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
partha1968's Repositories
partha1968/2015
Public material for CS109
partha1968/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
partha1968/CompStats
Code for a workshop on statistical interference using computational methods in Python.
partha1968/content
Official content for Harvard CS109
partha1968/dagdata
Data for the HarvardX courses: PH525x
partha1968/data-science-ipython-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.
partha1968/datasciencecoursera
partha1968/datasets
A collection of datasets of ML problem solving
partha1968/datasharing
The Leek group guide to data sharing
partha1968/doing_data_science
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
partha1968/EDA
Exploratory Data Analysis from John Hopkins
partha1968/enlighten-apply
Example code and materials that illustrate applications of SAS machine learning techniques.
partha1968/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
partha1968/Machine-Learning-With-R
Data sets and R code for the examples from the book "Machine Learning with R" by Brett Lantz
partha1968/Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
partha1968/neural-nets
Source code to go with my introductory video on neural nets in python
partha1968/Pandas-Cookbook-Second-Edition
Pandas Cookbook Second Edition, published by Packt
partha1968/Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
partha1968/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
partha1968/PythonVIS2013
Supporting the "Visualization and Analytics in Python" tutorial at VIS 2013
partha1968/rvest
Simple web scraping for R
partha1968/scikit-learn
scikit-learn: machine learning in Python
partha1968/Spoon-Knife
This repo is for demonstration purposes only.
partha1968/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
partha1968/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
partha1968/Test
My All Data work
partha1968/test_repo
partha1968/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
partha1968/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
partha1968/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)