- ML-foundations VS the-elements-of-statistical-learning
- ML-foundations VS wordlescraper
- ML-foundations VS the-cult-of-integral
- ML-foundations VS collatz-conjecture
- ML-foundations VS Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
- ML-foundations VS ITC
- ML-foundations VS Basic-Statistics-With-Python
- ML-foundations VS algorithmica
- ML-foundations VS 2D-Gaussian-Splatting
- ML-foundations VS teaching-monolith
ML-foundations Alternatives
Similar projects and alternatives to ML-foundations
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the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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wordlescraper
Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
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the-cult-of-integral
Discontinued The Cult of Integral is a cult dedicated to the creation of original copypasta, that is both high in quality and dedicated to the community of r/copypasta. [Moved to: https://github.com/the-cult-of-integral/the-cult-of-integral] (by Catterall)
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collatz-conjecture
A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.
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Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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Basic-Statistics-With-Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
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NOTE:
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Hence, a higher number means a better ML-foundations alternative or higher similarity.
ML-foundations discussion
ML-foundations reviews and mentions
Posts with mentions or reviews of ML-foundations.
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Worried about Calculus
As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations
Stats
Basic ML-foundations repo stats
1
4,714
6.2
over 1 year ago
jonkrohn/ML-foundations is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ML-foundations is Jupyter Notebook.
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