Name: Syed Sharin
Type: User
Company: Almabetter Trainee
Bio: Aspiring Data Scientist adept at collecting, analyzing and interpreting large datasets, developing new forecasting models and performing Data Management tasks.
Location: Bangalore
Blog: https://www.linkedin.com/in/syed-sharin
Syed Sharin's Projects
Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.
This project provides a performance evaluation of credit card default prediction. Thus different models are used to test the variable in predicting the credit default and we found Random Forest Classifier performs the best with a recall of 0.95 on the test set.
This repository consists of a project where deep learning algorithms have been used to analyze facial emotions of the students in the class in real time using Open CV. A web app has also been created using streamlit for demonstration purposes.
This repository consists of EDA project on Hotel Booking Analysis using data set contains booking information for a city hotel and a resort hotel where useful insights have been obtained and few measures have been suggested important factors that govern the bookings.
I had compared and display the ROC and PR curves in a balanced and imbalanced dataset, which have similar class separability. We can change the separability parameter when we create the toy dataset, to compare results on datasets with different degree of class separability.
This repository consists of Rental Bike demand prediction required at each hour of the day so that stable supply of rental bikes can be made possible. This is done by applying various Regression Machine Learning Algorithms.
Config files for my GitHub profile.