sukanyabag
A self taught data scientist, content creator, and freelancer.
Data Scientist @ GenpactBengaluru, India
Pinned Repositories
Advance-REST-APIs-with-Flask
This repo is focused on developing RESTful APIs with Flask, SQLAlchemy, (de)/serializing with Marshmallow, advance email confirmations, image uploads, database migrations, third party login with OAuth, Incremental feature delivery and payments with Stripe. Read the API Documentation and play with the API in Postman here 👇
Covid19-Detection-using-X-rays-Webapp
In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.
DataCamp-Case-Studies
This repository contains the codes and datasets of various data science projects completed by me. These project tasks are a part of DataCamp's "Data Scientist with Python" career track.
Detecting-Contradictions-and-Entailment-in-Multilingual-Text
A case study of NLI ( Natural Language Inferencing) with Transfer Learning. Kaggle Competition Rank - 18th (Global)
DSA-and-ProblemSolving
Trying to cover the most asked coding questions at PBCs along with DSA implementations. (Striver + NeetCode SDE Sheet ONGOING)
ML-DL-NLP-resource-notebooks
This repository contains all resources and notebook implementations of Machine Learning, Deep Learning and Natural Language Processing concepts.
QnA-Langchain-VectorDB
An implementation of Retrieval Augmented Generation (RAG) to enhance Large Language Models for Document Q&A and Information Retrieval.
Statistical-Analysis-of-My-Medium-Articles
This repository contains an exploratory data analysis of my writer data at Medium. I use it to carry out data analysis once in every 4 months to see audience and fan growth, and topics they love! You can check out the articles here👇
Text-Summarization-using-BERT-GPT2-XLNet
This notebook leverages Transfer Learning Algorithms and standard NLP procedures to summarize a given paragraph meaningfully.
sukanyabag's Repositories
sukanyabag/DSA-and-ProblemSolving
Trying to cover the most asked coding questions at PBCs along with DSA implementations. (Striver + NeetCode SDE Sheet ONGOING)
sukanyabag/Covid19-Detection-using-X-rays-Webapp
In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.
sukanyabag/Detecting-Contradictions-and-Entailment-in-Multilingual-Text
A case study of NLI ( Natural Language Inferencing) with Transfer Learning. Kaggle Competition Rank - 18th (Global)
sukanyabag/Advance-REST-APIs-with-Flask
This repo is focused on developing RESTful APIs with Flask, SQLAlchemy, (de)/serializing with Marshmallow, advance email confirmations, image uploads, database migrations, third party login with OAuth, Incremental feature delivery and payments with Stripe. Read the API Documentation and play with the API in Postman here 👇
sukanyabag/DataCamp-Case-Studies
This repository contains the codes and datasets of various data science projects completed by me. These project tasks are a part of DataCamp's "Data Scientist with Python" career track.
sukanyabag/ML-DL-NLP-resource-notebooks
This repository contains all resources and notebook implementations of Machine Learning, Deep Learning and Natural Language Processing concepts.
sukanyabag/Statistical-Analysis-of-My-Medium-Articles
This repository contains an exploratory data analysis of my writer data at Medium. I use it to carry out data analysis once in every 4 months to see audience and fan growth, and topics they love! You can check out the articles here👇
sukanyabag/QnA-Langchain-VectorDB
An implementation of Retrieval Augmented Generation (RAG) to enhance Large Language Models for Document Q&A and Information Retrieval.
sukanyabag/sukanyabag
portfolio
sukanyabag/Data-Science-Cheatsheet
sukanyabag/fastbook
The fastai book, published as Jupyter Notebooks
sukanyabag/Microsoft-Malware-Detection
Advanced ML Case Study where we use ML algorithms to detect malware from a given piece of software.
sukanyabag/Movie-Recommendation-System
A data driven AI movie recommendation system application that leverages Machine Learning to recommend movies to users, based on their likes.
sukanyabag/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
sukanyabag/Object-Oriented-Programming--Python
Contains implementations of all oop concepts in Python.
sukanyabag/coding-interview-university
A complete computer science study plan to become a software engineer.
sukanyabag/Dart-Programming-Samples
Repo contains Dart code samples useful for learning Dart.
sukanyabag/interview-question-data-science-
sukanyabag/leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
sukanyabag/Pose-Estimator-AI-App
This AI driven flutter application detects pose in real-time environment. It leverages Google's PoseNet Model which comes with TensorFlow.js.
sukanyabag/StriverSDESheetProblems
sukanyabag/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
sukanyabag/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
sukanyabag/tutorials
PyTorch tutorials.
sukanyabag/flutter
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
sukanyabag/Great-Deep-Learning-Tutorials
A Great Collection of Deep Learning Tutorials and Repositories
sukanyabag/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
sukanyabag/Single_vs_Ensemble_of_NNs
Should we always go deeper? Study on Ensemble Learning as an alternative to going deeper in Deep Learning showing interesting results
sukanyabag/sukanyabag.github.io
sukanyabag/time-series-forecasting
Notes on time series forecasting