ai-for-medicine-

Medicine is one of the fastest-growing and important application areas, with unique challenges like handling missing data. We will implement the nuances of working with 2D and 3D medical image data. We then apply tree-based models to improve patient survival estimates. We will also use data from randomized trials to recommend treatments more suited to individual patients. Finally, we will explore how natural language extraction can more efficiently label medical datasets.

ai-for-medicine-specialization

This repo contains the coursework and Assignments for AI for Medicine Specialization by deeplearning.ai on Coursera

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

awesome-decentralized-finance

A curated list of awesome decentralized finance projects

certifications

coursera-ai-for-medicine-specialization

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

data-analysis-for-box-office

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

data-science-resources

Data Books!

decentralized-finance-defi-the-future-of-finance

DeFi and the Future of Finance is a four course learning experience. DeFi or Decentralized Finance is a new technology whereby users interact as peers with algorithms or smart contracts rather than through traditional intermediaries such as banks, brokerages or insurance companies. The technology has the potential to transform finance as we know it. It solves key problems in traditional finance such as lack of inclusion, inefficiency, opacity, centralized control and lack of interoperability.

deeplearning.ai--tensorflow-developer-professional-certificate

In this Repo, I'll upload all my leanings & other hands on experience projects based on the specialization taught by Laurence Moroney - Lead AI Advocate, Google

dileepkanumuri

Config files for my GitHub profile.

e-commerce-website-using-django-reactjs

end-to-end-anpr

end-to-end-anpr-implementation

generative-adversarial-networks-gans-specialization

About GANs Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more.

geospatial-data-science-quick-start-guide

Geospatial Data Science Quick Start Guide, published by Packt

hosting-customer-shopping-trends-database

ibm-data-science

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-specialization

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

mdvc

PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)

movie-recomendation-system

practical-data-science-on-aws-cloud

In this Repo, I'll upload all my leanings & my own hand on experience projects based on the specialization taught by Sireesha Muppala and other AWS instructors

practical_rl

A course in reinforcement learning in the wild

predicting-medical-insurance-premium-using-ml

predicting-university-admission

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

r-programming-from-jhu