LeenaDamle

Business Data Analyst

Greater Boston

Pinned Repositories

airbnb
00
big-data-retail
Extract information from a retail dataset which list 10,000 transactions of a retail store. Each transaction displays the item IDs of the items purchased by a customer.
00
Credit_Screening
Detecting credit defaulters using logistic regression in R
00
CreditDefaulter
Classify customers as credit defaulters or not using R
00
InsuranceFraudDetection
Identify fraudulent car insurance claims using random forest and logistic regression models in R
Language:HTML01
LearningSpark_Clone
Language:Java00
Predicting_Medical_Expenses
Language:HTML00
PySpark_Clone_JaDianes
Language:Jupyter Notebook00
Trending-YouTube-Scraper
Python script that scrapes the currently trending YouTube videos in a variety of countries
Language:Python00

LeenaDamle's Repositories

LeenaDamle/InsuranceFraudDetection
Identify fraudulent car insurance claims using random forest and logistic regression models in R
Language:HTML1
LeenaDamle/airbnb
LeenaDamle/Trending-YouTube-Scraper
Python script that scrapes the currently trending YouTube videos in a variety of countries
LeenaDamle/LearningSpark_Clone
Language:Java
LeenaDamle/PySpark_Clone_JaDianes
Language:Jupyter Notebook
LeenaDamle/Predicting_Medical_Expenses
Language:HTML
LeenaDamle/CreditDefaulter
Classify customers as credit defaulters or not using R
LeenaDamle/big-data-retail
Extract information from a retail dataset which list 10,000 transactions of a retail store. Each transaction displays the item IDs of the items purchased by a customer.
LeenaDamle/Credit_Screening
Detecting credit defaulters using logistic regression in R