Debadri Sengupta's repositories
gcp-data-engineering
Data Engineering with Google Cloud Platform, published by Packt
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
Debadri3
Config files for my GitHub profile.
nocoderegressor
Your regression training app, without code
tmdb-movie-recommender
Content-based movie recommender system
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
StackOverflow-Question-Tagging
A personal project for multi-label classification of Stack Overflow Questions based on text features.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
NYC_Taxi_Prediction
Personal project involving time series regression analysis of Taxi Demand in NYC area. Libraries used: Scikit-learn, Matplotlib, Numpy, Pandas, Dask.
Datasets
NLP datasets
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
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.
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
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.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Sentmodel-Hindi
Work done with Mayukhmali Das under Sudip Sir's supervision.
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.
ProjectEuler100
Solving Project Euler algorithm problems in MORE THAN 10 programming languages
30_Days_of_Code
An attempt to learn general cs skills, and refine my web dev and ml knowledge.
hacktoberfest
Fork and Create a Pull Request
benchmarks
Public dataset benchmarks used for measuring the performance of MindsDB.
mindsdb-docs
Official documentation website of MindsDB