A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
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Updated
Apr 15, 2023 - HTML
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bonus sections offered alongside the course such as the MLops section, native android development section and DSA classes all in one. Follow for more😁✨
Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
Duke MIDS: Data Engineering and DataOps Course
7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamentals that the advanced concepts will be easy to understand.
Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
An MLOps Project for the ZenML Month of MLOps Competition
Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
MLOps deploying house estimate model
Machine Learning Operations with a denoising diffusion model using a butterfly dataset
MLFlow End to End Workshop at Chandigarh University
AI-powered solution to predict SLA breaches, prioritize support tickets, and enhance JIRA workflow efficiency using machine learning.
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