Introduction to Predictive Analytics in Python
|
In this course you’ll learn to use and present logistic regression models for making predictions.
In this course, you will learn how to build a logistic regression model with meaningful variables. You will also learn how to use this model to make predictions and how to present it and its performance to business stakeholders.
User Reviews
Be the first to review “Introduction to Predictive Analytics in Python”
Related Products
Business Intelligence Analytics
Gain insights into business intelligence tools and analytics techniques to optimize decision-making.
Introduction to Data
Learn the fundamentals of data collection, analysis, and interpretation.
Firebase Analytics: iOS
Explore Firebase Analytics integration for iOS apps to analyze user behavior and app performance.
Data Analysis with R
Learn how to analyze data using R programming, including statistical modeling and visualization techniques.
Master Statistics with Python
Learn the statistics behind data science, from summary statistics to regression models.
Introduction to Data Analytics
Get introduced to data analytics methods for extracting insights from data.
There are no reviews yet.