Notes
Machine Learning
10 topics, in the order we teach them.
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1
Python for machine learningSlides pdf
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2
Mathematics and statistics essentialsSlides pdf
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3
Data preprocessing and cleaningSlides pdf
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4
Exploratory data analysisSlides pdf
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5
Supervised learning algorithmsSlides pdf
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6
Unsupervised learning algorithmsSlides pdf
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7
Model evaluation and validationSlides pdf
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8
Feature engineeringSlides pdf
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9
Deep learning fundamentalsSlides pdf
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10
Model deployment and MLOpsSlides pdf