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ML Zoomcamp - Course Overview and Logistics

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Alexey Grigorev
Alexey Grigorev

This document outlines the course plan for a Machine Learning zoom camp hosted by DataTalks.Club. The 11-session course will cover topics ranging from introductory machine learning concepts to advanced techniques like deep learning, model deployment, and Kubernetes. Participants should have some Python experience and be comfortable with command line. Completing homework assignments and projects can earn participants up to 100 points to be listed on a public leaderboard. The goal is to help attendees learn applied machine learning skills in a collaborative, public setting.

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Machine Learning Zoomcamp Alexey Grigorev DataTalks.Club
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Me
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor mlbookcamp.com
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Team
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Is it for me? Yes, if ● You know how to program ● You know a bit of Python or can learn it quickly ● You feel comfortable with command line Not required: ● Previous experience with ML
DataTalks.Club — mlzoomcamp.com — @Al_Grigor https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/chapter-09-kubeflow
Course plan
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 1: Introduction
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Pictures from olx.ua Session 2: Car Price Prediction https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-02-car-price/02-carprice.ipynb
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 3: Churn prediction https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-03-churn-prediction/03-churn.ipynb Churn: 10% Churn: 20% Churn: 30% Churn: 40% Churn: 45% Churn: 85% Image source
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 4: Evaluation https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-03-churn-prediction/04-metrics.ipynb
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 5: Deployment https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/chapter-05-deployment Model /predict Churn service POST /predict { "probability": 0.06, "churn": true } Request Response { "id": "8879-zkjof", "gender": "female", "partner": "no", ... }
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 6: Credit Risk https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-06-trees/06-trees.ipynb 🚗 Risk Scoring Model Approve Decline
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Midterm project
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 8: Image Classification https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-07-neural-nets/07-neural-nets-train.ipynb inputs base vector outputs T-Shirt 150x150x3 keras.Model(inputs, outputs) Dense(10) Global Average Pooling2D base_model Input
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 9: Serverless Deep Learning { "tshirt": 0.9993, "pants": 0.0005, "shoes": 0.00004 } https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/chapter-08-serverless
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 10: Kubernetes Ingress Client Node1 Node2 Pod A Pod B Pod C Pod D Pod E Pod F Service 1 Service 2 Deployment 1 Deployment 2 Kubernetes Cluster https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/chapter-09-kubernetes
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Session 11: Kubeflow https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/chapter-09-kubeflow Pre-processing (resize/process images) Post-processing (transform predictions) Transformer Model (Make predictions) KFServing Pants Raw predictions Pre-processed image
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Capstone Project
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Article
Course logistics
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Logistics ● First session - live on YouTube ● Other sessions - live in Zoom * ● Everything will be recorded ● On Mondays ○ We work through the homework together ○ Answer questions ● To get a certificate, you need to complete two projects ● You can join the course at any time * depends on the number of participants
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Leaderboard ● For each homework question you get 1 pt ● Projects - 15 pt ● Article - 20 pt ● The leaderboard with top 100 participants will be published on the course github (without scores)
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Should be the same everywhere
DataTalks.Club — mlzoomcamp.com — @Al_Grigor No code = no points
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Learning in public Share your progress! ● #learning-challenges in Slack ● LinkedIn ● Twitter
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor +1 pt for each social link / article
DataTalks.Club — mlzoomcamp.com — @Al_Grigor PRs with links to Notion, medium, your github repos, etc are welcome!
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club Slack
DataTalks.Club — mlzoomcamp.com — @Al_Grigor
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Joining DataTalks.Club Slack Demo =)
DataTalks.Club — mlzoomcamp.com — @Al_Grigor DataTalks.Club Guidelines ● Use #course-ml-bookcamp for course questions ● Use threads ● Don’t post the same message in multiple channels https://datatalks.club/slack/guidelines.html
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Some stats (6k+ registrations)
DataTalks.Club — mlzoomcamp.com — @Al_Grigor Win ML Bookcamp! Go to @Al_Grigor for details :)
DataTalks.Club — mlzoomcamp.com — @Al_Grigor

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