Exploring Machine Learning with Python: A Collection of Guided Projects using Various Algorithms

There are several projects in this repository that utilize different machine learning algorithms to solve different problems.

Each project is stored in a separate folder, and has its own README file with details about the dataset used, the algorithm(s) applied, and conclusion part.

"This repository contains the guided projects that I have completed within the scope of the courses I took from Global AI Hub. I have used the resources provided by Global AI Hub."

Projects

• Predicting Breast Cancer Diagnosis using Logistic Regression and Linear Support Vector Classifier

• Clustering Live Selling Products based on Reactions and Engagement

• Mushroom Classification using Machine Learning

• Predicting Titanic Survivors using Decision Trees and Random Forests

• Predicting Breast Cancer Diagnosis using Gaussian Naive Bayes

• Multilayer Perceptron Classifier for MNIST Dataset

• Predicting House Prices using Linear Regression

Built With

• Python

Requirements

To run this project, you will need Python 3 installed, as well as the following libraries:

• Pandas
• Scikit-learn
• Numpy
• Matplotlib

Installation

Clone the repo.

git clone https://github.com/DenizGokayHamzali/Exploring-Machine-Learning-with-Python.git

License

MIT

Contact

Deniz Gökay Hamzalı

denizgokayhamzali@gmail.com