Cancer Mass Classifier: Harnessing Machine Learning
Created by Team Mammoth
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23 lectures
01
Skill level
All levels
02
Sections
4
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Lectures
23
04
Instructor
Team Mammoth
What's inside
This course includes.
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4
Sections
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Certificate of completion
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Mobile and desktop access
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AI learning assistance
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Course content
Curriculum & lectures.
+ 01 Preprocess a malignant vs benign cancer mass dataset 3 lectures
00 Project Preview
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01 Load And Analyze Cancer Dataset
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02 Preprocess Cancer Data For Machine Learning
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+ 02 Build an SVM model to classify malignant vs benign cancer mass 8 lectures
03A Why Do We Need Svm
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03B How Does Svm Work
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03C Svm On Non-Linear Data
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03D What Are Svm Kernels
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03E What Is The Precision-Recall Score
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03F Build An Svm Model To Classify Malignant Vs Benign Mass
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Source Files
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+ 03 Build a logistic regression model to classify malignant vs benign cancer mass 3 lectures
04A What Is Logistic Regression
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04B Build A Logistic Regression Model
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+ 04 Improve model accuracy with tuning methods 9 lectures
01A What Is Cross Validation
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01B Find Model Error With Cross Validation
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02A What Is Grid Search Cross Validation
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02B Find Optimal Hyperparameters With Grid Search
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03A What Is Nested Cross Validation
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03B Find Best Model Parameters With Nested Cross Validation
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04A What Is The Decision Tree Model
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04B Compare Models With Nested Cross Validation
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Source Files
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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