chaitutallapaneni Goto Github PK

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.

data-science-study

This repository contains jupyter notebook and other resources made by me during learning Data Science

dotfiles

dotfiles for vim, git, zsh, cwm, xinit, and many others. Install with: lndir -silent /path/to/dotfiles $HOME

free-machine-learning-books

A curated collection of free Machine Learning related eBooks

git_training

Training Repo for GIT

gitignore

A collection of useful .gitignore templates

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ibm-data-science-fundamentals-with-python-and-sql

icarus_verilog

This repo contains code snippets written in verilog as part of course Computer Architecture of my university curriculum

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

machine-learning

machine-learning-1

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

mlfromscratch

Machine Learning algorithm implementations from scratch.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythontutorials

Python Tutorials

ruby

Directory for ruby development

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

udacity_intro_to_tensorflow_for_deep_learning

zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.