ML Zoomcamp Office Hours - Week #2
Timecodes:
00:00 Machine learning homework: finding BMW price
02:19 Finding average price and missing engine horsepower.
04:33 Calculating matrix multiplication for selected data.
07:07 Compute and invert matrix for sum calculation.
09:08 Implementing normal equation for linear regression.
11:38 Setting up environment crucial for coding.
13:51 Expert discusses beginner resources for ML/AI.
15:55 Share video notes for collaborative learning.
17:56 Using Google Cloud for homework and deployment.
19:57 Tips for practicing coding from formulas.
22:03 Ranking vs. regression in group analysis.
23:57 Explaining floating point errors and logarithmic transformations.
26:18 Explaining data splitting and cross-validation approach.
28:20 Understanding the importance of target variables in machine learning.
30:28 Tips for writing understandable code in Python.
32:19 Deploying and monitoring machine learning models.
34:37 Model monitoring for detecting distribution changes, scalability, and maintainability.
36:37 Model monitoring and setting up monitoring.
38:44 Implementing email-based score retrieval and grading.
40:55 Certificate requirements and dataset partition explained.
43:02 Converting data to numpy array and scaling.
45:06 Explaining how to compute mean with missing values.
47:38 Mathematical proof of mean addition property.
49:59 ML Zoomcamp study tips and testing methods.
52:11 Testing machine learning models with Docker.
54:07 Using Drawboard for whiteboard practice.
56:16 Explaining formulas for computing missing values.
58:33 Explanation of RMSE vs MAE and Project Submission Dates.
Links:
Course page: https://datatalks.club/courses/2021-w...
Register here: https://airtable.com/shr6Gz46UZCgJ9l6w
Course GitHub repo: https://github.com/alexeygrigorev/mlb...
Public Google calendar: https://calendar.google.com/calendar/...
The book - Machine Learning Bookcamp: http://bit.ly/mlbookcamp (Get 40% off with code "grigorevpc")
Slides: https://www.slideshare.net/AlexeyGrig...
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html