KC Sekhar's repositories
Data-Science-Swag
My Data Science collection(Books and Articles)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
uf-data-mining-and-analysis
University of Florida Data Mining and Analysis
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Fast-Pandas
Benchmark for different operations in pandas against various dataframe sizes.
scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
learn-python3-thw-code
The code to Learn Python3 The Hard Way
bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
MLiFC
Course Material for the machine learning in financial context bootcamp
ProbablyOverthinkingIt
Code and notebooks related to articles posted on my blog, Probably Overthinking It.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
DL4CVStarterBundle
Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock
Complete-Python-Bootcamp
Lectures for Udemy - Complete Python Bootcamp Course
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Complete-Data-Science-Toolkits
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
python-github-projects
Collect and classify python projects on Github (deprecated)
py-image-search-engine
Python Image Search Engine with OpenCV
models
Models and examples built with TensorFlow
coursera-Applied-Data-Science-with-Python
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Personalized-Medicine-Redefining-Cancer-Treatment
Kaggle competition to predict the effect of genetic variants to enable personalized medicine.
CompStats
Code for a workshop on statistical interference using computational methods in Python.
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
intro-to-ml
A basic introduction to machine learning (one day training).
ThinkDataStructures
LaTeX source and supporting code for Think Data Structures: Algorithms and Information Retrieval in Java
data-science-fundamentals
This repository contains the exercises and data for Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
coursera-university-of-washington
University of Washington