## Nilesh's repositories

### cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

### datascience-environment

Docker Environment for data science

### docker-stacks

Ready-to-run Docker images containing Jupyter applications

### pytorch-Deep-Learning-Minicourse

Minicourse in Deep Learning with PyTorch

### MathsDL-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

### machine-learning-implementations

Simplified implementations of some standard machine learning algorithms.

### goodreads-data

Playing with goodreads data from Kaggle.

### human-activity-recognition-smartphone-sensors

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

### deep-learning-with-python-notebooks

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

### stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

### galaxy-classification-using-deep-learning

Experiments in galaxy classification using CNNs on data frovided by Kaggle

### LSSTC-DSFP-Sessions

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

### digit-classification-fully-connected-neural-nets

Pure Numpy implementation of Fully Connected Neural Networks with gradient descent for weight optimisation

### aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

### transportation-flow-network

Analyzing transportation graph from NYC data

### lectures

Oxford Deep NLP 2017 course

### Airquality-Prediction

Data Mining project

### Intro-To-ggplot2

A basic introduction to `ggplot2` package in R created by Hadley Wickham

### awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

### TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

### MITx-Foundations-of-Computer-Science

The Foundations of Computer Science XSeries, offered by the M.I.T. Department of Electrical Engineering and Computer Science, is a sequence of courses that introduce key concepts of computer science and computational thinking. Students apply these concepts and build their engineering skills by completing software and hardware design problems. Additionally, students test their understanding by taking a series of exams.

### SparkCourses

Repository for SPARK notebooks, datasets & lectures from MOOCs & other resources