Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Cancer Mass Classifier: Harnessing Machine Learning
Mammoth Interactive Courses Introduction
Preface
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
Preprocess a malignant vs benign cancer mass dataset
Project Preview (2:22)
Load And Analyze Cancer Dataset (5:46)
Preprocess Cancer Data For Machine Learning (5:24)
Source files
Build an SVM model to classify malignant vs benign cancer mass
Why Do We Need Svm (7:15)
How Does Svm Work (6:28)
Svm On Non-Linear Data (4:48)
What Are Svm Kernels (4:44)
What Is The Precision-Recall Score (4:42)
Build An Svm Model To Classify Malignant Vs Benign Mass (4:08)
Source Files
Build a logistic regression model to classify malignant vs benign cancer mass
What Is Logistic Regression (4:32)
Build A Logistic Regression Model (3:44)
Source files
Improve model accuracy with tuning methods
What Is Cross Validation (8:25)
Find Model Error With Cross Validation (3:46)
What Is Grid Search Cross Validation (5:47)
Find Optimal Hyperparameters With Grid Search (9:37)
What Is Nested Cross Validation (14:29)
Find Best Model Parameters With Nested Cross Validation (4:43)
What Is The Decision Tree Model (10:51)
Compare Models With Nested Cross Validation (4:00)
Source Files
Find Optimal Hyperparameters With Grid Search
Lesson content will be unlocked within 30 minutes.
Teachable is working on this bug.
No further action will be required on your part
.
Thank you for your patience