Navaneethan Gopal's repositories
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
automlops
Build MLOps Pipelines in Minutes
awesome-gcp-certifications
Google Cloud Platform Certification resources.
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
awesome-time-series
list of papers, code, and other resources
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
bigquery-utils
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
book-1
book
communities
This is a repository for Global (Azure) Communities to maintain their page on the globalazure.net website.
Data-Cleaning-and-Exploration-with-Machine-Learning
Data Cleaning and Exploration with Machine Learning
FinancialDataAnalysisWithPython
A full Python (with Pandas and NumPy) course on Financial Analysis.
generative-ai
Sample code and notebooks for Generative AI on Google Cloud
K-Means-XGBoost-On-Mall_Customers-data
We are trying to make sense of this data, Predict the new customers spending rate ( Haw much they will spend on products ), cluster the customers into groups to be able to predict thier actions and to understand what segment of people are the most valuable to the business
Machine-Learning-Goodness
The Machine Learning repository contains ML/DL projects, notebooks, cheat codes of ML/DL/AI, useful information on AI/AGI and codes or coding snippets/scripts/tasks.
openai-cookbook
Examples and guides for using the OpenAI API
pandas_exercises
Practice your pandas skills!
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Practical-Machine-Learning
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
recommenders
Best Practices on Recommendation Systems
rice-disease-classifier
Rice Disease Classifier that Classifies images of leaves using Convolutional Neural Networks
smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson