knchanu

compas-analysis

Data and analysis for 'Machine Bias'

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

DiscussionAboutMassShootings

Goal of this project was to analyze how discussion about mass shootings changes with time using Reddit data.

FoursquareCheckIns-ShinyApp

This repository contains the files for my Shiny App, "Visualizing Foursquare Check Ins - NYC Edition" and the dataset that I used.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Machine_Learning-Hospital_Readmissions_Rate

Machine Learning Project by Neha Chanu & Xiaoyi Tian for Machine Learning Course at the University of Pittsburgh

natural-disaster-tweet-prediction

Goal of this project was to classify whether a tweet was about a natural disaster or not.

NLP-Sentiment-Classification

Sentiment Classification with Natural Language Processing on LSTM

Sneakers_Project

Using Selenium, Neha scraped data about 35 top selling sneakers of Nike and Adidas from stockx.com. She used this data to draw insights about sneaker resales.

word2vec-tsne

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

knchanu/Sneakers_Project

Using Selenium, Neha scraped data about 35 top selling sneakers of Nike and Adidas from stockx.com. She used this data to draw insights about sneaker resales.

knchanu/compas-analysis

Data and analysis for 'Machine Bias'

knchanu/DiscussionAboutMassShootings

Goal of this project was to analyze how discussion about mass shootings changes with time using Reddit data.

knchanu/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

knchanu/Machine_Learning-Hospital_Readmissions_Rate

Machine Learning Project by Neha Chanu & Xiaoyi Tian for Machine Learning Course at the University of Pittsburgh

knchanu/natural-disaster-tweet-prediction

Goal of this project was to classify whether a tweet was about a natural disaster or not.

knchanu/word2vec-tsne

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

knchanu/data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

knchanu/FoursquareCheckIns-ShinyApp

This repository contains the files for my Shiny App, "Visualizing Foursquare Check Ins - NYC Edition" and the dataset that I used.

knchanu/NLP-Sentiment-Classification

Sentiment Classification with Natural Language Processing on LSTM

knchanu/Free-Coding-Interview-Books

A curated collection of free coding interview eBooks

knchanu/hello-world

knchanu/isd-hw3

knchanu/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

knchanu/ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

knchanu/Neha_MachineLearningProject

https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation

knchanu/pipelines-java

Sample Java application referred to by Azure Pipelines documentation

knchanu/ritchieng.github.io

My personal repository of notes served through Github pages at http://www.ritchieng.com/

knchanu/tweagle

A Machine learning twitter scrapping tool for analysing users, pages and streaming events

knchanu/Universal-React-Apollo-Registration

Open Source Universal User Registration System – NodeJS React Apollo GraphQL JWT MongoDB