sri-spirited Goto Github PK

assorted_learning_docs

Didn't want to delete these, or don't remember where I collected them rom, so building this repo

av-jetrail-ts-forecasting

Time series forecasting for AV's JetRail data

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bitesizebayes

An introduction to Bayesian statistics using Python and (coming soon) R.

bnlearn

personal clone of bnlearn package

cheatsheets

codesignal

Practice tasks on codesignal

cookbook

The Data Engineering Cookbook

coursera_bayesian_methods_in_machine_learning

coursera_intro_to_dl

Course notes for the 'Introduction to Deep Learning' course by National Research University Higher School of Economics on Coursera

coursera_practical_time_series

coursera_sequence_learning

coursera_structuring_ml

Course notes

data-analysis-and-machine-learning-projects

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

data-cleaning-101

Data Cleaning Libraries with Python

data-science-blogs

A curated list of data science blogs

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

datasets

Repo of datasets used across projects

deeplearning_atoz_udemy

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

dl_topics

List of DL Topics and resources essential for cracking interviews

explore-california

LinkedIn Essential Git Training's practice repo

fastai_course_v3_notes

fchollet-book-deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

feature-engineering-for-ml

Notes from Udemy course

handson-ml

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

household_electricity_forecasting

Multi step multivariate time series forecasting