I'm a highly motivated undergrad from a 3rd world country who is unable to afford the paid version of new Andrew NG course. What can I do about the labs?

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
Machine Learning stanford-university neural-networks cs229

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  • cs229-2018-autumn

    All notes and materials for the CS229: Machine Learning course by Stanford University

    Ng's updated lectures for CS229 are also available on youtube as well as the latest syllabus and notes (from https://cs229.stanford.edu/). Don't worry if you can't access the Coursera version. It's watered down for the mass audience and you can find plenty of top quality material online for free from Stanford, Berkeley, CMU etc.

  • Machine-Learning-Specialization-Coursera

    Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

    https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera This guy has added all the quizzes and labs of this course.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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