prashver / titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

Hi! , I'm Prashant Verma

A Data Science and Machine Learning professional with over 2 years of hands-on experience. My fascination with Artificial Intelligence drives me to explore algorithms in open-source libraries, all while concurrently working on Generative Artificial Intelligence projects.

In my data science journey so far,

• I have skilled myself in AI methodologies including Classification, Regression, Deep Learning, etc.
• I became proficient in Python, C++, SQL, Flask, Streamlit, and various data analysis tools.
• I've assisted numerous individuals in aligning with their project and work requirements and delivering High-quality work to clients.
• I have also done multiple End-to-End Projects on various use-cases such as Web Scraping, Chatbot Development, Natural Language Processing and Computer Vision.
• Check out my Projects: Machine Learning and AI Projects