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Classroom Contents
Advanced Python Libraries for Data Science
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- 1 Intro
- 2 Introduction
- 3 Outline
- 4 Goals
- 5 Cyclearn
- 6 Scikitlearn
- 7 Data Processing Functions
- 8 Preprocessing Functions
- 9 Model Support
- 10 Model Functions
- 11 Builtin Data Sets
- 12 Making Data
- 13 Pipeline
- 14 Google Collab
- 15 Data
- 16 Data dummies
- 17 Scaling Imputation
- 18 Logistic Regression
- 19 Cross Validation
- 20 Gradient Boost
- 21 Retrieve Models
- 22 Resources
- 23 What does TensorFlow do
- 24 TensorFlow can be used
- 25 Tensorflow Code
