ann364
Data Scientist specializing in Forensic Analytics striving to make positive impact to community one code at a time
Pinned Repositories
CarSelection-with-DataVisualization
Goal of this project is to select a car based on multiple criterias. Used Tableau for visualization where as Python to scrape data from various car websites
Chicago-Crime-Analysis
The goal of this project is to look at recent crime data from Chicago metropolitian area and recommend police scheduling to reduce life threating crimes (assault,murders etc) in neighborhoods with high crimes rates or neighborhood with high murder rates.
Credit-Card-Fraud-Detection
Credit Card Fraud Detection using logistic regression
CustomerChurnPrediction-TelecomCompany
Using R, analysed which customers churn, excavated potential indicators and predicted which customers churn. Provided few measures to mitigate the issue
MercariPriceRecommendation
Using NLP, we recommend prices for items that sellers try to sell in an online platform called Mercari [In Progress]
PoliceDepartment-Eligibility-for-Govorner-Funds
Using linear regression model and Monte-Carlo similulation in R, determining eligibility of funding for BPD
Predicting-Uninsured-Individuals
Using Python, we implement logisitic regression model to predict if an individual is insured or not.
Youtube-Comments-Cyberbully-Detection
In this project we analyze comments in youtube videos using NLP techniques and determine which subjects are prone to harsh comments, trolls, verbal abuse. We will also see who are repeat offenders , correlation between number of likes/dislikes in a video vs the bullying. We then advise the YouTube admins and cyber police as precautionary measures to take.
ZillowBostonHousePricePrediction
Using Python, we predict the median price of houses in Boston. We evaluated house prices on data retrieved from Zillow using linear regression model. Eventually we want to see if there is relationship between predicted median value vs actual median value of houses.
ann364's Repositories
ann364/Youtube-Comments-Cyberbully-Detection
In this project we analyze comments in youtube videos using NLP techniques and determine which subjects are prone to harsh comments, trolls, verbal abuse. We will also see who are repeat offenders , correlation between number of likes/dislikes in a video vs the bullying. We then advise the YouTube admins and cyber police as precautionary measures to take.
ann364/Chicago-Crime-Analysis
The goal of this project is to look at recent crime data from Chicago metropolitian area and recommend police scheduling to reduce life threating crimes (assault,murders etc) in neighborhoods with high crimes rates or neighborhood with high murder rates.
ann364/CarSelection-with-DataVisualization
Goal of this project is to select a car based on multiple criterias. Used Tableau for visualization where as Python to scrape data from various car websites
ann364/Credit-Card-Fraud-Detection
Credit Card Fraud Detection using logistic regression
ann364/CustomerChurnPrediction-TelecomCompany
Using R, analysed which customers churn, excavated potential indicators and predicted which customers churn. Provided few measures to mitigate the issue
ann364/MercariPriceRecommendation
Using NLP, we recommend prices for items that sellers try to sell in an online platform called Mercari [In Progress]
ann364/PoliceDepartment-Eligibility-for-Govorner-Funds
Using linear regression model and Monte-Carlo similulation in R, determining eligibility of funding for BPD
ann364/Predicting-Uninsured-Individuals
Using Python, we implement logisitic regression model to predict if an individual is insured or not.
ann364/ZillowBostonHousePricePrediction
Using Python, we predict the median price of houses in Boston. We evaluated house prices on data retrieved from Zillow using linear regression model. Eventually we want to see if there is relationship between predicted median value vs actual median value of houses.