The Supervised Machine Learning Bootcamp
Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs
4.64 (1296 reviews)
5 570
students
6 hours
content
Apr 2023
last update
$69.99
regular price
What you will learn
Regression and Classification Algorithms
Using sk-learn and Python to implement supervised machine learning techniques
K-nearest neighbors for both classification and regression
Naïve Bayes
Ridge and Lasso Regression
Decision Trees
Random Forests
Support Vector Machines
Practical case studies for training, testing and evaluating and improving model performance
Cross-validation for parameter optimization
Learn to use metrics such as Precision, Recall, F1-score, as well as a confusion matrix to evaluate true model performance
You will dive into the theoretical foundation behind each algorithm with the aid of intuitive explanation of formulas and mathematical notions
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4846632
udemy ID
23/08/2022
course created date
30/08/2022
course indexed date
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