mayukh mukhopadhyay's Projects
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
National Novel Generation Month, 2017 edition.
First M87 EHT Results: Imaging Pipelines
MIT IAP 2019 Computational Law Course
iQuHACK 2020 Ideas
3d perception of maximum density zone on ramachandran plots for zika virus protein structures
Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Android sensors controlled mouse cursor(Accelerometer and light intensity)
Algorithmic Marketing Models
Machine learning technique used to predict consumer behavior
An open autonomous driving platform
Cut and paste your surroundings using AR
The GitHub Archive Program & Arctic Code Vault
Performing IoT with arduino without WiFi Module
Artificial Intelligence with Python Cookbook, published by Packt
AskTanmay (codename: TanmayQA) is an open-source NLQA (Natural Language Question-Answering) system, developed by Tanmay Bakshi (TajyMany).
The analysis of transaction's impact on Total Shareholder's Return (TSR). This study examined whether deals created sustainable shareholder value.
Avatars for Zoom, Skype and other video-conferencing apps.
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Everything Deepfakes
A community driven list of useful IOTA blogs, articles, videos and tools.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of Site Reliability and Production Engineering resources.
Library to enable Bayesian active learning in your research or labeling work.
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
This hands-on lab is part of Bigdata on AWS quest in qwiklabs.