1 Hour ML
01
Skill level
All levels
02
Sections
6
03
Lectures
21
04
Instructor
Team Mammoth
What's inside
This course includes.
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6
Sections
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21
Lectures
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1
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 01 The Foundations of Machine Learning 3 lectures
01 Introduction to Machine Learning
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02 The Three Core Paradigms of Learning
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03 Machine Learning in Action: Real-World Case Studies
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+ 02 Core Concepts and Terminology 4 lectures
01 The Building Blocks of Machine Learning
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02 The Learning Process
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03 Evaluating Model Performance
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04 The Machine Learning Workflow
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+ 03 Algorithms in Action 4 lectures
01 Linear Regression - Predicting House Prices
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02 Logistic Regression - Filtering Spam Emails
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03 Decision Trees - Automating Loan Approval
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04 K-Means Clustering - Discovering Customer Segments
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+ 04 Hands-On Mini Project: Titanic Survival Prediction 5 lectures
01 Project Foundation: Understanding the Titanic Challenge
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02 Data Preparation and Preprocessing
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03 Building and Training Predictive Models
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04 Evaluating Model Performance
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05 Visualizing and Interpreting Results
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+ 05 Challenges & Best Practices in Machine Learning 4 lectures
01 The Cornerstone of Machine Learning: Data Quality
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02 A Double-Edged Sword: Bias and Fairness in Machine Learning
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03 The Physical Frontier: Computational Limitations
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04 The Interpretability vs. Accuracy Trade-Off
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+ Cheatsheet 1 lecture
Download here
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