Data Science & Machine Learning- Data Science, Machine Learning, Regression, Classification and Clustering [THEORY ONLY]
InstructorAI Sciences
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The curriculum covers a wide range of fundamental models including Decision Trees, Random Forests, K-Nearest Neighbors, and Neural Networks.
Instructional signals suggest the course is effective at introducing basic data science terms and machine learning types to newcomers.
The instruction is heavily theoretical, lacking the code samples, datasets, or model-building exercises necessary for applied learning.
Some learners report difficulty understanding specific mathematical equations or finding the presentation style too mechanical.
The curriculum aligns well with the stated goal of introducing beginners to machine learning concepts.