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Evaluation Metrics: Accuracy, Precision, Recall, and F1 Score
Learn how to increase and understand model performance with Accuracy, Precision, Recall, and F1 Score!
Overfitting and Underfitting Models
Learn what it means to have an overfit and underfit model and how to find the "sweet spot" between the two.
The Data Mining Process (CRISP-DM)
Learn how to structure your data science project from start to finish using the Cross-Industry Standard Process for Data Mining (CRISP-DM).
Applied Data Science with Python UM Specialization
Considering a MOOC to take your data science skills to the next level? Here's my experience completing the University of Michigan's Applied Data Science with Python Specialization through Coursera.