Neeraj Agrawal's repositories
mlcourse
Machine learning course materials.
fastai_docs
dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)
d2l-en
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
mlcourse_assignments
This repository contains solution of assignments that I did as part of course mlcourse.ai offered in 2018
Advance_Machine_Learning-coursera
In this repository I will keep my assignments that I completed as part of specialization
cs231n
Standford cs231n assignments.
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
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
AlgorithmSpecializationStanford
Assignments of Algorithm Specialization offered by Coursera (Stanford)
scalacaster
Purely Functional Algorithms and Data Structures in Scala
JavaUdacity
SimpleTicTacToe_Java
heamy
A set of useful tools for competitive data science.
datahack2017-workshop-av
Code, Documents and Slides for Hack Session: ML Models in Production using Flask & Docker
machine-learning
Content for Udacity's Machine Learning curriculum
courses
fast.ai Courses
MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera