Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

My public Kaggle notebooks

I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.

All my Kaggle Notebooks that I've published

Competitions and tutorials on machine learning.

My notebooks in the world's largest data science community

Competitions, Datasets, Notebooks

My projects to improve the world.

This repository is a sample of my kaggle notebooks exploring geospatial, natural language processing, computer vision, and time series datasets through hands-on examples and insights. Each notebook provides practical applications and techniques

Jupyter Notebook defining, visualizing, and executing a gradient descent algorithm for optimization of three-dimensional cost functions.

kagutils is a utility script designed for Kaggle notebooks, providing essential functions to streamline workflows. It includes tools for inventorying available files in the Kaggle environment and automatically loading CSV/JSON files into Python variables for easy data access and manipulation.