Notebooks 📚

This repository contains a list of jupyter notebooks, mostly results of my experiments, references from books and other project based explorations

List of Contents

1) California Housing Price Prediction 🏠🌴

Predicting housing prices in a given area in california, based on the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Modified to use seaborn 🌊 instead of matplotlib 📊.

2) MNIST Dataset 3️⃣

Classification of digits from the open source MNIST dataset, also based on the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Modified to use seaborn 🌊 instead of matplotlib 📊.

3) Regression Model 📈

A basic model to demonstrate Linear Regression using PyTorch

4) Circle Classification 🔵

A basic model to classify circles using non-linear activation functions using PyTorch, based on the sklearn toy dataset

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
.gitignore		.gitignore
README.md		README.md
circles.ipynb		circles.ipynb
houses.ipynb		houses.ipynb
mnist.ipynb		mnist.ipynb
poetry.lock		poetry.lock
pyproject.toml		pyproject.toml
regression.ipynb		regression.ipynb