Machine_Learning_40_Day_Course .pptx
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This document outlines a 40-day comprehensive course on machine learning using Python, aimed at teaching both theoretical concepts and practical applications. The course includes a daily schedule of 2 hours of theory and 2 hours of practical work, covering topics such as data preprocessing, various algorithms, and model evaluation. Participants will engage in a mini-project to apply their skills in the final weeks.
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![Machine Learning using Python
A 40-Day Comprehensive Course
[Your Name]
[Your Organization]
[Course Start Date]](https://image.slidesharecdn.com/machinelearning40daycourse-240902072454-e4d34b39/85/Machine_Learning_40_Day_Course-pptx-1-320.jpg)
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Machine_Learning_40_Day_Course .pptx
- 1. Machine Learning using Python A 40-Day Comprehensive Course [Your Name] [Your Organization] [Course Start Date]
- 2. Course Overview • Objective: To introduce the fundamentals of machine learning using Python, focusing on theory and practical applications. • Duration: 40 Days • Daily Schedule: 2 hours of theory + 2 hours of practical
- 3. Course Objectives • Understand the basics of machine learning and its applications. • Preprocess data for machine learning. • Implement classification, regression, and clustering algorithms. • Evaluate and tune machine learning models. • Apply skills in a mini-project.
- 4. Course Structure • Week 1: Introduction to Machine Learning and Python Basics • Week 2: Data Preprocessing and Supervised Learning • Week 3: Advanced Supervised Learning • Week 4: Unsupervised Learning and Model Deployment • Week 5-6: Mini Project and Review