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Name: TS Gowthami
Type: User
Bio: Engineering Value with Tech >> Progress. AI & ML | Data Science | Sustainability | Climate Change
Name: TS Gowthami
Type: User
Bio: Engineering Value with Tech >> Progress. AI & ML | Data Science | Sustainability | Climate Change
A day to day plan for this challenge. Covers both theoritical and practical aspects
My Answer to 120 Data Science Interview Questions
iPython Notebooks for NumPy and Python Primers
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Infrastructures™ for Machine Learning Training/Inference in Production.
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
This is building a container from scratch
Core Statistics for Datascience
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
All the work done by me as a part of Coursera's Machine Learning Course + A Vectorized Python 🐍 implementation
Solutions to problems from "Cracking the Coding Interview 6E" by Gayle Laakmann McDowell
Collection of useful data science topics along with code and articles
Data science interview questions and answers
A collection of various deep learning architectures, models, and tips
Efficient Python Tricks and Tools for Data Scientists
Create UIs for your machine learning model in Python in 3 minutes
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
🎓Leetcode solutions in Python 📚
:octocat: (Weekly Update) Python / Modern C++ Solutions of All 1643 LeetCode Problems
This is an example Microservice
Key Concepts in Microservices
This is my intro into the journey of ML/DS career
Machine Learning by Microsoft
https://huyenchip.com/ml-interviews-book/
Machine Learning Engineering for Production (MLOps) is an online non-credit specialization authorized by DeepLearning.AI and offered through Coursera
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.