https://github.com/prakharjadaun/ml-learn-with-me

Learn Machine learning and its different algorithms with me. In this repo, I upload well explained ml algorithms and topics related to statistics.
https://github.com/prakharjadaun/ml-learn-with-me

backpropagation data-visualization keras-neural-networks learn-with-me machine-learning numpy seaborn

Last synced: about 15 hours ago
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Learn Machine learning and its different algorithms with me. In this repo, I upload well explained ml algorithms and topics related to statistics.

• Host: GitHub
• URL: https://github.com/prakharjadaun/ml-learn-with-me
• Owner: prakharjadaun
• License: mit
• Created: 2022-07-03T03:43:27.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-12T11:14:23.000Z (8 months ago)
• Last Synced: 2024-05-11T05:56:12.471Z (6 months ago)
• Topics: backpropagation, data-visualization, keras-neural-networks, learn-with-me, machine-learning, numpy, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.69 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# **ML - Learn With Me**

This repo contains following notebooks:

* Numpy Tutorial for beginners

* Pytorch Basics

* Statistical Measures

* Area under the curve

* Simple Linear Regression

* Introduction to Plotting

* Handling with Missing Data

* Understanding Decision Trees and Random Forest

* Introduction to backpropagation

* Learn KNN from scratch

* How to approach a dataset (Kaggle)

* Creating a Neural Network using PyTorch

* What are decorators?

You can access all the datasets used above in the notebooks from here : [Datasets](https://drive.google.com/drive/folders/1sV9kc7KQLcPsUNzOumfZv8njwiSpRWgT?usp=share_link)