https://github.com/chekoduadarsh/learn-ml-through-kaggle

https://github.com/chekoduadarsh/learn-ml-through-kaggle

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/chekoduadarsh/learn-ml-through-kaggle
• Owner: chekoduadarsh
• Created: 2020-01-17T13:16:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-17T13:40:46.000Z (over 5 years ago)
• Last Synced: 2025-02-08T15:47:50.766Z (4 months ago)
• Size: 1000 Bytes
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


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This is the beginning of a new Tutorial Series which will take you through the Basics of Machine Learning and will give a touch and introduction to deeplearning!! In this tutorial, each segment will have an interactive Jupyter Notebook (Which runs in Kaggle), along with a infographics Image, This course will make sure that you can identify and understand a Machine Learning problem is given and you can design and apply solutions to them!! 

​

## Course content as follows



```

1. Day 1

    1.1. Introduction to AI/ML (This notebook)

    1.2 Libraries & Installation

    1.3 50 Exercises on Numpy and Pandas

    1.4 Plot and learn to analyse the data

2. Day 2

    2.1 Linear/Polynomial Regression

    2.2 Logistic Regression 

    23 Support Vector Regression

3. Day 3

    3.1 Naive Bayers Theorem

    3.2 K-Nearest Neighbour

    3.3 Support Vector Machine

4. Day 4

    4.1 Decision Tree

    4.2 Random Forest

    4.3 XGBoost

5. Day 5

    5.1 K Means Clustering

    5.2 Hierarchical Clustering

6. Day 6

    6.1 What is a Neural Network

    6.2 Perceptron

    6.3 Fully Connected Network

7. Day 7 

    7.1 Convolutional Neural Network

    7.2 Design your own CNN

```