tbachlechner

tbachlechner's Stars

• ksindi/managers-playbook

  :book: Heuristics for effective management

  5.3k443

• paige-chang/Music-Recommendation-System

  Music recommendations

  Language:Jupyter Notebook189

• yanruoyu2005/ruoyu_insightproject

  Language:HTML7

• dkazenoff/atlas-frontend

  Frontend React application with smart contracts for running the Atlas DeFi platform locally.

  Language:JavaScript81

• vignesh022/Classy-Fy

  A User-personalized Playlist Filter for Spotify Music

  Language:Jupyter Notebook10

• zgolkhou/CXtream

  Improving customer understanding and product quality in real-time through data-driven insights.

  Language:Jupyter Notebook13

• rachelbeal/FasTack

  FasTack can be used to optimize sailboat routes based on wind data using reinforcement learning with value iteration and value iteration with Q-learning.

  Language:Jupyter Notebook201

• saminens/Medi-CoQA

  Conversational Question Answering on Clinical Text

  Language:Python252

• govardhan1194/StockItUp

  A unified streaming pipeline to process historical as well as real time stock data to provide insightful dashboards to rookie investors and to also provide clean,processed, critical features to data scientists on demand. Utilizing the tiered storage feature to eliminate the need for a datawarehouse and using s3 as an offload storage for historical data.

  Language:Python143

• jahedpari/Product-Master

  The purpose of this project is to find the demographic value for products. For example, if the target audience of a particular products is women, men, baby, kid or unisex.

  Language:Python91

• jsflevitt/DevEstates

  Database for visualizing and understanding the impacts of declared disasters on real estate prices

  Language:Scala11

• jyan83/Savvy_Care

  3 weeks of Insight Data Science Project.

  Language:Python11

• sarahuludag/DarkCoin

  Language:Python12

• devanshkv/insight_docclean

  Clean your docs!

  Language:Python12

• advaithasabnis/target-and-market

  A data-driven tool to identify the best candidates for a marketing campaign and optimize it.

  Language:Python253

• josh-lang/where-cycle

  Automated pipeline that uses Citibike, NYC TLC, & Yelp data to map out ideal locations for Citibike expansion as people return to work & entertainment without covid-safe public transit

  Language:Python222

• sheltowt/application_security_data_visualizations

  Detection & Response Visualizations built as part of the Insight Fellowship Program

  Language:HTML17

• gwattal/squatsmart_insight

  SquatSmart - Your virtual squat spotter

  Language:Jupyter Notebook11

• jdwittenauer/ipython-notebooks

  A collection of IPython notebooks covering various topics.

  Language:Jupyter Notebook2.6k1.5k