nilesh-patil Goto Github PK

airquality-prediction

Data Mining project

astr597b_wi16

Class Materials for Big Data in Astronomy - Introduction to Large Surveys

computational-thinking

Math from computation, math with computation

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

datasciencebowl2018

deep-learning-with-python-notebooks

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

digit-classification-fully-connected-neural-nets

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

docker-stacks

Ready-to-run Docker images containing Jupyter applications

galaxy-classification-using-deep-learning

Experiments in galaxy classification using CNNs on data frovided by Kaggle

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.

intro-to-ggplot2

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

kaggle

lectures

Oxford Deep NLP 2017 course

lsstc-dsfp-sessions

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

machine-learning-implementations

Simplified implementations of some standard machine learning algorithms.

mathsdl-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

mit_ocw_linear_algebra

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.

ml-algorithms

nilesh-patil.github.io

project-visualizations

python-ds

python-xtensions

sentimentanalysisusingr

Sentiment analysis mini-project while working on a larger social network prediction modelling project.

sparkcourses

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

stanford-tensorflow-tutorials

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

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

transportation-flow-network

Analyzing transportation graph from NYC data