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Python: Working with Predictive Analytics

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Overview

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Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

Syllabus

Introduction

Predict data in Python
Road map

1. Data Preprocessing

Differentiate data types
Python libraries and data import
Handling missing values
Convert categorical data into numbers
Divide the data into test and train
Feature scaling

2. Prediction Models

Introduction to predictive models
Linear regression
Polynomial regression
Support Vector Regression (SVR)
Decision tree regression
Random forest regression
Evaluation of predictive models
Hyperparameter optimization
Challenge: Hyperparameter optimization
Solution: Hyperparameter optimization

Conclusion

Next steps

Taught by

Isil Berkun

Reviews

4.6 rating at LinkedIn Learning based on 615 ratings

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