Introduction_to_Machine_Learning

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Logistic Regression Slides - First Version

1

Danial-Gharib

Chapter_01_Mathematics / Calculus and Optimization 

hamidrezaen

Slide improvements

30

These slides are getting used as a reference for teaching in the ML for BioInformatic course as well. In the process of class, some points of improvement got found. This...

FunnyPhantom

Chapter 4 (ML_Models_for_Tabular_Datasets) / page 6 

albino-crow

@mahsayazdani I hope you find this pull request helpful! I've added a Jupyter notebook that covers the basics of neural networks.

Aquasar11

**Slide 7/7:** In Overfitting vs Underfitting graph, it is recommented to plot **Bias2**, Var, and Bias2+Var rather than Bias, Var, and Bias2 + Var rather than Bias according to the...

Nadiam75

**Slide 14/15:** The slide titled "Positiveness of Information Gain" must be moved to the Information gain section. 

Nadiam75

**slide 12/15:** This slide is not arranged in proper order. ID3 and C4.5 algorithms must be introduced "before" CART and immediately after information gain as C4. 5 and ID3 use...

Nadiam75

seperate -> separate

eltociear

Hi there! I was checking this repo and realized all the Jupyter notebooks are basic code. I'd like to suggest that use a tool like nbdev (https://nbdev.fast.ai/). it converts jupyter...

mallahyari