YoVDO

Python: Working with Predictive Analytics

Offered By: LinkedIn Learning

Tags

Python Courses Machine Learning Courses Predictive Analytics Courses

Course Description

Overview

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

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent