Notes of ML in python for absolute beginners
Customer segmentation using KMeans clustering and PCA (Principal Component Analysis). The goal is to analyze customer data to identify distinct segments based on purchasing behavior.
A beginner-friendly guide to core ML algorithms from supervised learning (regression, perceptrons) to reinforcement and unsupervised learning. Each topic is explained in python code, diagrams, and real-world analogies for an intuitive, engaging learning experience.
This course is part of the IBM Advanced Data Science Specialization and introduces the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. The last part of the course deals with Digital Signal Processing in Machine Learning.
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