Course Curriculum
- 5 sections
- 22 lectures
- 1 hour, 34 minutes total length
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Introduction to types of ML algorithm00:02:00
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SVM – Python Implementation00:06:00
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Introduction to types of ML algorithm00:02:00
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Importing a dataset in python00:02:00
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Resolving Missing Values00:06:00
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Managing Category Variables00:04:00
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Training and Testing Datasets00:07:00
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Normalizing Variables00:02:00
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Normalizing Variables – Python Code00:03:00
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Summary00:01:00
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Simple Linear Regression – How it works?00:04:00
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Simple Linear Regreesion – Python Implementation00:07:00
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Multiple Linear Regression – How it works?00:01:00
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Multiple Linear Regression – Python Implementation00:09:00
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Decision Trees – How it works?00:05:00
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Random Forest – How it works?00:03:00
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Decision Trees and Random Forest – Python Implementation00:04:00
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kNN – How it works?00:02:00
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kNN – Python Implementation00:10:00
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Decision Tree Classifier and Random Forest Classifier in Python00:10:00
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SVM – How it works?00:04:00
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