Neha Chanu (knchanu)

knchanu

Geek Repo

Location:Pittsburgh

Home Page:nehachanu.com

Github PK Tool:Github PK Tool

Neha Chanu's repositories

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.

Language:PythonStargazers:32Issues:2Issues:0

compas-analysis

Data and analysis for 'Machine Bias'

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

DiscussionAboutMassShootings

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

Language:PythonStargazers:1Issues:0Issues:0

introduction_to_ml_with_python

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

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

Machine_Learning-Hospital_Readmissions_Rate

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

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

natural-disaster-tweet-prediction

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

word2vec-tsne

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

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

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.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

FoursquareCheckIns-ShinyApp

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

Language:RStargazers:0Issues:0Issues:0

NLP-Sentiment-Classification

Sentiment Classification with Natural Language Processing on LSTM

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Free-Coding-Interview-Books

A curated collection of free coding interview eBooks

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

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.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Neha_MachineLearningProject

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

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

pipelines-java

Sample Java application referred to by Azure Pipelines documentation

Language:JavaLicense:CC-BY-4.0Stargazers:0Issues:0Issues:0

ritchieng.github.io

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

Language:HTMLStargazers:0Issues:0Issues:0

tweagle

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

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Universal-React-Apollo-Registration

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

Language:JavaScriptLicense:MITStargazers:0Issues:0Issues:0