I am data science and machine learning fanatics. I like to explore data and gain insights from them. I will bring to you a strong academic background in Data Analytics and hands-on analysis experience.
During the internship, I have the chance to get in touch with ML projects in different fields. I also develop database and databoards technoques.
Separate good borrowers and bad with a more predictive model: Logistic Regression with Time Series.
Unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.
Analyzed a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer.
Dashboard is a control panel usually located directly ahead of a vehicle's driver, displaying instrumentation and controls for the vehicle's operation.
The goal is to classify the device that Trump used to write each tweet with. It's been hypothesized that President Trump tweets only from his android phone and that someone else tweets from his account using an iphone.
Mean-Reversion Portfolio Optimization with Various Return Estimation Methods and Risk Control Methods
Use the ~900 labeled judgments to build models to decide the area of law
Visualize progression for these four metrics to mental health providers and their patients.
This project will consider the subreddit you are posting on and previous posts and comments on the subreddit to determine how likely your comment or post is to get down voted. This would be useful for reddit users who want to find out more about a subreddit or test the waters before posting something potentially controversial.