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About Me

👨‍💻 Data Scientist at Real Estate Analytics.

👨‍🎓 MTech in Intelligent Systems from National University of Singapore (NUS).

🎯 My aim is to build digital solutions using Data Science that solve real-world 🌍 problems.

📚 I love contributing to the DS community by making Tutorials. This is a go-to place for all DS enthusiasts.

🌱 I like to keep myself updated with trending research in Deep Learning.

Checkout my Repositories and don't forget to give a ⭐

Languages and Tools

Programming Language:

Python Java

Database:

MongoDB MySQL Neo4J

Machine Learning Framework:

scikit-learn Keras TensorFlow PyTorch

Cloud Platform:

AWS Azure Heroku Google Cloud

Web Framework:

FastAPI Flask

Containerization:

Docker

Version Control:

Git

Checkout my blogs

Connect with me

LinkedIn Medium Google Scholar

Let's connect 👨‍💻 and forge the future together.

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Apar Garg's Projects

app_usage_prediction icon app_usage_prediction

Predict the no. of hours a customer will be using an app on a given day using ML and DL.

asd-bot icon asd-bot

Intelligent AI Chatbot For Autism Spectrum Disorder.

bi-bot icon bi-bot

QA System: Business Intelligence in Healthcare

covbot icon covbot

Intelligent AI Chatbot For COVID-19.

food_mania icon food_mania

Classify 101 classes of food images using Transfer Learning. Web App available.

rpsgame icon rpsgame

Real-time rock-paper-scissors game with the computer using TFOD and OpenCV.

voice_datasets icon voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

word2vec-vs-bert icon word2vec-vs-bert

I'll show how BERT models being context dependent are superior over word2vec, Glove models which are context-independent.

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