End To End Movie Recomendation System Based on IMDb Dataset

The Project is Live on http://34.168.9.81/
Technologies:

Web Scrapping, Docker, Kubernetes, Google Cloud, Google Container Registry

Deep Learning-Based Semantic Segmentation for Tumor Detection in MRI Brain Scans

Go Check it Out! The Project is Live on 🤗 Huggingface
Technologies:

Deep Learning, Docker, Streamlit, PyTorch

Dark Matter Substructure Classification and Regression

Technologies:

Deep Learning, Machine Learning, PyTorch, Matplotlib

Autoencoders For Credit Card Fraud Detection

Semi-Supervised Learning
Technologies:

Machine Learning, sk-learn, TensorFlow, U-Map, Dimensionality Reduction

Sentiment Analysis on IMDb Dataset

An experimention on classical ML models
Technologies:

Machine Learning, sk-learn, TensorFlow, Logestic Regression, SVC, MLP, Bi-LSTM

Music Genre Classification

Classified 10 different genre of Music on the Challenging GTZN Dataset
Technologies

Signal Processing, MFCC extraction, Librosa, Machine Learning, TensorFlow

So what's this all about?

This is Shubh, I'm a pre-final year Student, currently spending my time between exploring Deep Learning frameworks and fine tuning machine learning models.

It all started in my 1st semester, I was really keen about machine learning and wanted to know more about it. Since then I've worked on various End-To-End projects, thus I'm not just familiar with producing poduction ready code but deploying the project as well. Infact I've learned through making projects both independently and under my professors. I've sound knowledge of all the important machine learning models and a keen interest in computer vision.

GitHub