Simran Padam's Projects
It covers various ML and DL techniques used for prediction and classification problems
Text mining of Reddit comments on ChatGPT
The goal of this project is to explore association between climate changes and Hurricanes based on El Niño events. The analysis explores Hurricane characteristics such as likelihood of landfall, sea surface temperature, time and the origin location of El Niño and La Niña events. K-means algorithm is applied on the moments of Hurricane tracks and prediction of landfall is analysed on clusters and sea surface temperature.
Contrastive Learning for Visual Representation
Image Classification report
Enhancing the Effectiveness of Online Experiments using CUPED: A Case Study of Booking.com
FineTuning Llama to create a versatile chatbot
Flight Data Analytics
Time Series Analysis
Iris Recognition
Demand Forecasting using LSTM
Using Kmeans clustering for object detection
The code tracks and counts the vehicles on the highway through a stable toll camera.
Sales prediction for a segment of product.
Text classification
World Happiness Classification
This report uncovers Youtube identifiers for a viral video using the application of statistical methodologies and text analysis