AI Learning

This repository hosts multiple python projects focused on AI learning.

All code examples are well-commented, making them suitable for use as self-tutorials.

Project 1

Prediction using linear regression using sklearn and visualization using matplotlib and seaborn.

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Project 2

Expenditure prediction using linear regression with sklearn and matplotlib.

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Project 3

Sentiment analysis using sklearn and pandas, visualization using matplotlib.

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Project 4

Data analysis with network diagrams using networkx, pandas, and matplotlib.

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Project 5

Analyze frequency and decision tree classification using sklearn, matplotlib, pandas, and seaborn.

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Project 6

Image classification with neural network using tensorflow, matplotlib, and numpy, enhanced with image augmentation techniques.

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Project 7

Image classification using pre-trained ResNet50 model trained on ImageNet data using keras.

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Developer Tools

To run the project:

cd experiments
poetry shell
cd ../
make p1

Use the make command to run each project. For instance, project 2 is make p2, and project 3 is make p3.

Or using Jupyter Notebook:

cd experiments/project1
jupyter notebook

Or open Visual Studio Code with the root folder, and press F5 to start debugging.

To add a dependency with Poetry:

cd experiments
poetry add YOUR_DEPENDENCY