Complete Machine Learning Course with Python for beginners
InstructorSelfcode AcademyThe curriculum covers a wide range of topics including regression, classification (SVM, KNN, Naïve Bayes), and clustering techniques.
Learners have noted well-organized content and clear explanations that facilitate following along with the code.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This Jupyter Notebook demonstrates hierarchical clustering implementation using scipy's linkage and dendrogram functions to visualize data groupings.
This educational slide defines hierarchical clustering by contrasting top-down and bottom-up methods, illustrated with a data point scatter plot and a corresponding distance dendrogram.
This educational slide explains how different linkage methods—Single, Complete, and Average—affect dendrograms by defining how distances between clusters are calculated.
This Jupyter Notebook screenshot demonstrates the implementation of complete linkage hierarchical clustering in Python, showing the code execution and the resulting dendrogram plot.
Some signals suggest a lack of intermediate exercises or structured homework to solidify learning for absolute beginners.
The curriculum aligns with the beginner target audience, though some signals suggest a mismatch for absolute beginners.
