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advance-machine-learning-udacity-

advance_machine_learning-coursera

In this repository I will keep my assignments that I completed as part of specialization

algorithmspecializationstanford

Assignments of Algorithm Specialization offered by Coursera (Stanford)

courses

fast.ai Courses

cs231n

Standford cs231n assignments.

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

datahack2017-workshop-av

Code, Documents and Slides for Hack Session: ML Models in Production using Flask & Docker

datasciencecoursera

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearningandrewng

AndrewNg Deep Learning Specialization

developingdataproducts

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

heamy

A set of useful tools for competitive data science.

javaudacity

SimpleTicTacToe_Java

kaggletils

machine-learning

Content for Udacity's Machine Learning curriculum

magnieet.github.io

mlcourse

Machine learning course materials.

mlcourse_assignments

This repository contains solution of assignments that I did as part of course mlcourse.ai offered in 2018

mth594_machinelearning

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

neeraj-agrawal.github.io

neeraj13788.gihub.io

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

reflections

scalacaster

Purely Functional Algorithms and Data Structures in Scala

slidifypresentaion

zmpdswr

Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)