Tutorials of Machine Learning in Jupyter Notebooks

This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

In this notebook, my objective is to explore the popular MNIST dataset and build an SVM model to classify handwritten digits. Here is a detailed description of the dataset.

Built from scratch SVM, Kernel Perceptron and Neural Network implemented to recognize handwritten digits from the mnist dataset. Includes jupyter notebook of code, mnist handwritten digit data and a PDF of the code & results.

Machine Learning Jupyter notebook exercises created as a TA at Santa Clara University

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks