IBM-COURSERA [Machine Learning with Python]

Machine Learning with Python final assignment

• Building model using KNN, finding the best k and accuracy evaluation
• Building model using Decision Tree and find the accuracy evaluation
• Building model using SVM and find the accuracy evaluation
• Building model using Logistic Regression and find the accuracy evaluation

This Jupyter Notebook is a hands-on project performed during the Machine Learning with Python course by IBM/Coursera.

Prerequisites

• Jupyter Notebook
• Python 3
• Python libraries: Pandas, Numpy, Matplotlib, Sklearn

Installing

• Instructions to install Jupyter Notebook: https://jupyter.org/install