orsushiva

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bert

TensorFlow code and pre-trained models for BERT

Data-Analysis

A collection of examples from the domain of data analysis. Many examples follow work presented by P.K. Janert in the text Data Analysis.

Data_Science_Scratch

Code examples from: 'Data Science from Scratch' by J. Grus, oreilly books 2014

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

DBS_Assignments

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

discover-flask

Full Stack Web Development with Flask.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

orsushiva/ipython-notebooks

A collection of IPython notebooks covering various topics.

orsushiva/jupyter

Jupyter metapackage for installation, docs and chat

orsushiva/kaggle

Repository for code used in Kaggle competitions.

orsushiva/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

orsushiva/PyTorch-Deep-Learning-Minicourse

Minicourse in Deep Learning with PyTorch

orsushiva/scikit-learn

scikit-learn: machine learning in Python

orsushiva/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

orsushiva/ShinyApps

Small web apps that illustrate statistical concepts

orsushiva/statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

orsushiva/uqsa_tutorials

orsushiva/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

orsushiva/cookbook-code

[DEPRECATED] See the new edition:

orsushiva/Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

orsushiva/datasciencecoursera

orsushiva/datasharing

The Leek group guide to data sharing

orsushiva/DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

orsushiva/gradient-energy-matching

Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

orsushiva/Hands-On-Natural-Language-Processing-with-Python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

orsushiva/machine_learning_examples

A collection of machine learning examples and tutorials.

orsushiva/matplotlib

matplotlib: plotting with Python

orsushiva/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

orsushiva/pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

orsushiva/python-books

orsushiva/r-heuristic-games

An R package called empiricalGameTheory which provides methods for analysing heuristic games using empirical game-theory.

orsushiva/shiva

orsushiva/shiva-shankar

orsushiva/shivashankar

orsushiva/stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

orsushiva/Tensorflow-Programs-and-Tutorials

Implementations of CNNs, RNNs, GANs, etc

orsushiva/udacity-nanodegrees

:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula