Tasnim Niger's Projects
A classification model to predict clients who are likely to default on their loan and give recommendations to the bank on the important features to consider while approving a loan.
Main focus of this repository is Exploratory data analysis (EDA), Data Visualization and Statistical analysis
A machine learning model that can identify fake news articles.
A Generative AI application using a Large Language Model to automate the classification and processing of support tickets.
This problem statement is based on the Shinkansen Bullet Train in Japan, and passengers’ experience with that mode of travel. This machine learning exercise aims to determine the relative importance of each parameter about their contribution to the passengers’ overall travel experience.
This repository contains the code and data for cutting-edge research aimed at identifying the thought patterns of patients with psychotic disorders.
A Generative AI solution using the LangChain framework and a Large Language Model to automate tasks pertaining to Data Analysis, Data Science, Database Querying and Retrieval-Augmented Generation.
An online education company was trying to convert their customers (lead) to paid customers. Analyze and build an ML model to identify which leads are more likely to convert to paid customers.
All NLP related necessary python projects
My personal repository
Optuna is a hyperparameter tuning library to find the best hyperparameters for any tree based model.