Udemy – Machine Learning Using Python 2024-5

• An introduction to machine learning

• Data cleaning using Python

• Dealing with and exploring numerical data and categorical data

• Training and data modeling

• Dimensionality reduction using feature extraction

• Supervised algorithms for classification

• Improving model performance with hybrid methods

• Evaluation of model performance for classification

• regression

• Unsupervised algorithms

What you will learn in the Machine Learning with Python course

• Understanding the fundamental concepts of machine learning and its applications in different fields.
• Learn the process of data preprocessing, including handling of missing data, feature scaling, and coding of categorical variables.
• Mastery of various supervised learning algorithms such as linear regression, logistic regression, decision tree, support vector machines and k-nearest neighbors.
• Explore unsupervised learning techniques including clustering, dimensionality reduction, and association rule learning.
• Developing the ability to critically analyze and interpret machine learning results and make informed decisions

Installation guide

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