TS Gowthami's repositories
ML-For-Beginners-1
Machine Learning by Microsoft
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.
ML-DL--Career-Transition
This is my intro into the journey of ML/DS career
awesome-full-stack-machine-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
container-from-scratch-python
This is building a container from scratch
core-stats-datascience
Core Statistics for Datascience
coursera-deep-learning-specialization
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
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Data-science
Collection of useful data science topics along with code and articles
data-science-interviews
Data science interview questions and answers
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
gradio
Create UIs for your machine learning model in Python in 3 minutes
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
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
microservice
This is an example Microservice
microservices-key-concepts
Key Concepts in Microservices
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
mle-for-production-mlops
Machine Learning Engineering for Production (MLOps) is an online non-credit specialization authorized by DeepLearning.AI and offered through Coursera
mlrun-notes
A repository for notes on the open-source mlrun project
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
stanford-cs224n-assignments-2021
This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2021).
stanford-cs231n-assignments-2020
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
testing-ml
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
The-Engineering-Manager-Pandect
A comprehensive reference for all topics related to becoming a great Engineering Manager
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing