Machine Learning Basics by Futurelearn
Delve into the rapidly evolving world of computer science and artificial intelligence with fundamental machine learning concepts.
Course Highlights
- Understand the fundamental concepts of machine learning, including its types and learning processes.
- Explain and apply the k-NN algorithm and its variations, including different distance measures.
- Comprehend linear regression and its alternative notations, along with the additive linear model.
- Understand logistic regression and implement it using the scikit-learn library.
- Evaluate machine learning models using tools such as the confusion matrix.
Skills you will learn!
Curriculum
3 Topics
What is machine learning
Three types of machine learning
Model Analysis
3 Topics
The basic concept of kNN
Variation of k-NN
Examples with kNN
3 Topics
Linear regression I
Linear regression II
Linear regression III
3 Topics
Logistic Regression I
Logistic Regression II
Logistic Regression III
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Machine Learning Basics
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