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Machine Learning Essentials Boot Camp / Part 1: Preparing Your Data (TTML5510)

In the world of machine learning, the quality of input data is critical. Machine learning models that use bad data input produce inaccurate and unreliable results, undermining their effectiveness and trustworthiness. Our Machine Learning Essentials Boot Camp: Preparing Your Data is a three-day hands-on skills immersion course geared for students who need to how to effectively prepare and optimize data for use in machine learning models, ensuring they produce accurate, useful and insightful predictions.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
TTML5510
Course Prerequisites

This is an intermediate-level program, designed to prepare attendees for a deeper dive into next-level, heavy hands-on machine learning courses and workshops. Attendees should have practical, hands-on experience working with Python for Data Science, pandas and NumPy.

Training Purpose
Skill Development
Specific Audience
Academia
Contractor
Federal Employee
Delivery Method
Classroom
Online, Instructor-Led
Course Location

4176 S Plaza Trail
Suite 207
Virginia Beach, VA 23452

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Learning Objectives

Throughout the course you will explore: Data Encoding: Dive into data encoding to seamlessly translate diverse information into a machine-friendly format. Data Manipulation Mastery: You’ll get comfortable with encoding, scaling, and normalizing data. By the end of the course, the curse of dimensionality will no longer be a challenge. Quality Analysis Confidence: Learn how to identify and remove duplicates, handle null values, manage outliers, and work with dates in your data. You’ll be a pro at maintaining clean datasets. Feature Analysis Wizardry: Discover how to identify unused columns, detect low variance ones, and understand multicollinearity. By the end of the workshop, feature selection will feel like second nature. Pipeline Proficiency: Gain a deep understanding of the critical role of pipelines in machine learning and develop the skills to create and implement your own data preprocessing pipelines. Machine Learning Basics: Get introduced to the fundamentals of machine learning, understand k-fold cross-validation, master the art of partitioning data, and learn how to prevent data leakage. You’ll be set to step confidently into the world of machine learning.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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