Debadri Sengupta's repositories
StackOverflow-Question-Tagging
A personal project for multi-label classification of Stack Overflow Questions based on text features.
30_Days_of_Code
An attempt to learn general cs skills, and refine my web dev and ml knowledge.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Microsoft-Malware-Prediction
Personal project for prediction of a software as a malware based on ASM and bytes file features. Libraries used: Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, etc
Netflix-Recommendation-System
Personal project for prediction of movies based on user-user similarity and movie-movie similarity matrix. Libraries used: Surprise, Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, XGBoostetc
NYC_Taxi_Prediction
Personal project involving time series regression analysis of Taxi Demand in NYC area. Libraries used: Scikit-learn, Matplotlib, Numpy, Pandas, Dask.
Personalized-Cancer-Diagnosis
Personal project for prediction of a cancer mutation label based on text and gene features. Libraries used: Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, MLXtend, SciPy etc
Quora-Question-Pair-Similarity
A personal project for identifying similarity between questions on Quora based on text features. Libraries involved: Scikit Learn, Numpy, Pandas, Scikit-learn, Matplotlib, NLTK, Beautiful Soup.
Amazon-Apparel-Recommendation
A personal project for product similarity and image similarity based on text features and image features. Libraries involved: Scikit Learn, Numpy, Pandas, Scikit-learn, Matplotlib, NLTK, Beautiful Soup.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
benchmarks
Public dataset benchmarks used for measuring the performance of MindsDB.
Datasets
NLP datasets
Debadri3
Config files for my GitHub profile.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
hacktoberfest
Fork and Create a Pull Request
hexagon
Hexagon is a microservices toolkit written in Kotlin. Its purpose is to ease the building of services (Web applications, APIs or queue consumers) that run inside a cloud platform.
mindsdb
Predictive AI layer for existing databases.
mindsdb-docs
Official documentation website of MindsDB
nocoderegressor
Your regression training app, without code
ProjectEuler100
Solving Project Euler algorithm problems in MORE THAN 10 programming languages
Sentmodel-Hindi
Work done with Mayukhmali Das under Sudip Sir's supervision.
tmdb-movie-recommender
Content-based movie recommender system