Python for Machine Learning

Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python’s Scikit-learn library—equipping you to predict classifications, continuous values, and more. Whether you’re refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.
Course Details

Price:

$1,195.00

Days:

2

Location:

Virtual

Course Overview

Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python’s Scikit-learn library—equipping you to predict classifications, continuous values, and more. Whether you’re refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.

In this course, you’ll gain practical experience applying machine learning algorithms using Python. You’ll learn how to process and analyze data using NumPy and Pandas, create both classification and regression models with Scikit-learn, and apply feature engineering techniques to real-world datasets. You’ll also explore key concepts such as supervised vs unsupervised learning, model evaluation, and end-to-end model deployment as APIs.

To be successful in this course, learners should have the following: Intermediate Python skills and knowledge Level of knowledge and experience gained from Python for Data Science

Introduction to Data Literacy

  • What is data literacy, and why is it important?

  • Understanding the role of data in decision-making

Types of Data & Data Sources

  • Structured vs. unstructured data

  • Common data sources in business and everyday applications

Fundamentals of Data Analysis

  • Identifying trends and patterns in data

  • Recognizing data quality issues and avoiding misleading insights

Data Visualization & Communication

  • Best practices for presenting data in reports and dashboards

  • Choosing the right chart type to communicate insights effectively

Practical Data Exercises & Hands-On Labs

  • Real-world data interpretation case studies

  • Applying data literacy concepts in decision-making scenarios

Class Dates & Times
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02/19/2026 - 02/20/2026
Virtual
09:00:00 to 17:00:00 EST
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$1,195.00
05/07/2026 - 05/08/2026
Virtual
09:00:00 to 17:00:00 EST
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$1,195.00
11/10/2025 - 11/11/2025
Virtual
09:00:00 to 17:00:00 EST
Enroll Now
$1,195.00
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