Machine Learning with Python Course (Coursera) - IBM Powered

Description

This GitHub repository serves as a comprehensive resource for the "Machine Learning with Python" course offered on Coursera, powered by IBM. The course focuses on practical implementation of various machine learning algorithms using Python. The repository includes hands-on exercises and projects covering fundamental machine learning concepts, with a particular emphasis on real-world applications.

Certificate

COURSE CERTIFICATE

Key Features

1. Linear Regression:

   • Implementation of linear regression algorithms for predicting continuous variables.
   • Practical examples and exercises demonstrating the application of linear regression in various scenarios.

2. KNN Regression:

   • Hands-on implementation of K-Nearest Neighbors (KNN) regression for both simple and complex datasets.
   • Exploration of KNN's strengths and limitations in regression tasks.

3. Logistic Regression:

   • Application of logistic regression for binary classification problems.
   • Real-world examples showcasing logistic regression's effectiveness in predicting categorical outcomes.

4. Decision Tree:

   • Implementation and visualization of decision tree algorithms for both classification and regression tasks.
   • Understanding the interpretability and decision-making process of decision trees.

5. Support Vector Machines (SVM):

   • Practical implementation of SVM for both linear and non-linear classification problems.

Additional Contents

• Datasets: The repository includes datasets used in the course exercises and projects, facilitating hands-on learning.
• Notebooks: Jupyter notebooks containing step-by-step implementations of the mentioned machine learning algorithms.
• Documentation: Comprehensive documentation providing insights into the theory behind each algorithm and practical tips for effective implementation.
• Project Files: Complete project files demonstrating end-to-end machine learning workflows for selected applications.

Whether you are a beginner looking to grasp the fundamentals of machine learning or an experienced practitioner seeking practical insights, this repository aims to be a valuable resource throughout your journey in mastering machine learning with Python. Feel free to explore, learn, and contribute to the ever-evolving field of machine learning.