harshdarji23's Stars
yankou/AirbnbLocal
Chrome extension to recommend nice neighborhoods to stay in NYC.
bobhaffner/medium_posts
nisargthakkar/Multimodal-Airbnb-Price-Prediction
Prediction of Airbnb prices in Toronto City using Crime data and Yelp businesses data
alexeygrigorev/data-science-interviews
Data science interview questions and answers
aburkov/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
soochoe/SharpestMinds
Yelp/dataset-examples
Samples for users of the Yelp Academic Dataset
viveksyngh/Hackerrank-Code
Hackerrank solved problem codes
nburbank/relevance_in_ads
Insight Data Science Fellowship project with URX about relevance in mobile embedded ads.
meetnaren/Goodreads-book-analysis
A data science project to classify a book as fiction or nonfiction based on the blurb or description
emirka/insight
Insight Data Science DS.2019C.TO project
richardwhlu/insight_project
Labeling of Yelp reviews by high-level topic (Food, Service, Price, Ambiance)
hzheng2015/CheckMyResume
3-week data science project as Fellow at Insight Data Science
Jenny1228/Analysis-On-Relation-Between-Real-time-News-Sentiment-And-Stock-Market-Portfolio
In this project, we use two sets of data to draw insights on how media sentiment can be an indicator for the financial sector. For the financial data, we plan to use daily return of the market index <font color='green'>(^GSPC)</font>, which is a good indicator for market fluctuation; for media sentiment, we use summarized information of news pieces from top 10 most popular press because of their stronger influence in shaping people's perception of events that are happening in the world.** **Both sets of data are real-time, which means the source files are of the moment and need to be loaded each time analysis is performed. The sentiment analysis library returns a <font color='green'>polarity</font> score (-1.0 to 1.0) and a <font color='green'>polarity</font> score (0.0 to 1.0) on the news stories. Using quantified sentiment analysis, we juxtapose the two time series of data and observe if they present any correlation and search for potential causality. For example, we may test the hypothesis that when polarity among the daily news posts is higher (a.k.a., positive), the financial market that same day is more likely to rise. The rest of the notebook is a step-by-step instruction.
yuwie10/cultivate
Identifying employee relationships from emails for improved HR analytics: Cultivate consulting project, Insight DS.17C
janelleszary/intuiShop
Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.
pmrai/options_trading
This is my insight project for options trading
ajgrande924/insight-project
EveChen/Insight-Project
anasuyadas/wineRecommender
Insight project
dantegd/insight-findmygeek
Insight fellowship project: A developer recommendation system using lightfm and GitHub data
pmayostendorp/hiring-without-whiteboards
Companies that don't do typical CS based whiteboard interviews. The whiteboard is metaphorical.
lanttern/Insight
Insight Data Science Project
lanttern/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
apapiu/airbnb_app
Insight Project - BestBnB: Find and AirBnB to match your lifestyle and wallet
tongbaojia/Insight
See my insight project at
sdelarquier/couchtube
Insight Data Science Project
bzamecnik/ideas
Insights, project ideas and research questions.
mrubash1/Insight_Project_Framework
Framework for machine learning projects at Insight Data Science