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Introduction to Supervised Machine Learning

Apply the foundational concepts of machine learning with the power of Python to extract insights from data. Modal courses - a better way to learn technical skills.
NEXT COURSE STARTS
December 9, 2024 - February 2, 2025
Enrollment closes on November 27, 2024
Upcoming start dates
January 21, 2025 - March 16, 2025
Cooming Soon! We're planning next year's course schedule.
January 21, 2025 - March 16, 2025
Enrollment starts on November 28, 2024
February 18, 2025 - April 13, 2025
Enrollment starts on January 10, 2025
March 17, 2025 - May 11, 2025
Enrollment starts February 7, 2025
Who Is This For?

Data Practitioners interested in building a foundational understanding of machine learning and skill set to build ML models with Python.

Any prerequisites?
  • An intermediate-level understanding of Python topics, such as: familiarity with algorithms and data structures; experience with libraries like NumPy and Pandas; troubleshooting and debugging.
  • Knowledge of descriptive and inferential statistics.
  • Familiarity with Data Science in practice, such as importing, cleaning, manipulating, analyzing and presenting data.
What will I be able to do after this Course?
  • Differentiate between Machine Learning models and prepare data for use with a particular model.
  • Fit, use, evaluate, and explain a linear regression model.
  • Fit, use, evaluate, and explain a logistic regression model.
  • Improve a machine learning model and understand the bias variance tradeoff.
NEED HELP DECIDING?
Book time with a learning expert.

A Typical Week

Monday
Self Study
Kick-off new topic with self-study & online learning
  • Coaches support learners hitting roadblocks
  • Manager check-in to bring learning into company context
Tuesday
Wednesday
Labs
Learning material leads into practice environment & labs
  • Coaches support learners hitting roadblocks
  • Pair programming to bring learning into company context
  • Community allows students to help each other
Thursday
Live Event
Interactive live session hosted by Coaches
  • Community allows students to help each other
  • Community Groups host expert AMAs & guided community discussions
Friday
Projects
Work on a weekly project
  • Community allows students to help each other
  • Group projects
  • Coaches support learners hitting roadblocks
Saturday
sunday
Work at your own pace
Expert coaching and actionable feedback from Coaches
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    Course Overview

    Live Sessions every
    Sprint 1: The Machine Learning Process
    Learn the fundamentals of Machine Learning, including types of models, overall process, issues related to bias, and preparing data for use in an ML model.
    Sprint 2: Linear Regression
    Learn how to implement and interpret a linear model, including concepts such as gradient descent, loss functions, predictions, and model evaluation.
    Sprint 3: Logistic Regression
    Learn about how to implement and interpret a logistic regression model, including concepts such as error types, accuracy/precision/recall, prediction, and model evaluation.
    Sprint 4: Bias and Variance
    Start your exploration of bias variance tradeoff and begin building skills to improve your ML model.

    Why Modal?

    Projects & Practice
    Real world exercises contextualize learning in real-world context.
    On-Demand Coach Support
    You are never alone. Coaches are always present and can help you!
    Live Sessions
    Hear from guest speakers and expert instructors through engaging lectures.
    Technical Labs
    Technical Labs
    Hands-on labs allow you to play with new tools and concepts to build real skills.
    Modal Community
    Community of Peers
    You will be part of a learning community were support is abundant.
    Asynchronous Learning
    Asynchronous Learning
    Self-paced learning is scheduled for each learner, with a dashboard to help you keep on track.

    Other Courses

    Python for Data Science
    Applying Statistical Thinking
    Data Analysis With SQL

    “I love the quantity & quality of learning materials, the interactivity, the live sessions, the coaches, are invaluable. I can really feel the difference in the level of engagement that Modal has to every participant compared to an ordinary course."

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    - Veselina Stoyanova - Reporting Analyst, EMAG

    Learn more about FlexEd

    We are excited that Modal now offers a direct bill payment option for Booz Allen employees. The direct bill payment option enables employees to enroll in learning opportunities with no upfront costs.

    This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Modal to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement. Note, Modal may also be used for the FlexEd Program reimbursement payment option.
    Start Enrollment
    A Modal advisor will help select your course!
    🎉

    Thanks!

    A Modal Advisor will be in touch shortly to finalize your course enrollment!
    Thank you! Your submission has been received!
    Oops! Something went wrong while submitting the form.
    Need help? Contact us