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Introduction to Supervised Machine Learning
When
October 14, 2024 - December 8, 2024
Course Tuition
$1,950
No Up-front Payment
Modal now offers a deferred direct bill payment option for Booz Allen employees.
Learn more
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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 Schedule
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?
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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
Hands-on labs allow you to play with new tools and concepts to build real skills.
Community of Peers
You will be part of a learning community were support is abundant.
Asynchronous Learning
Self-paced learning is scheduled for each learner, with a dashboard to help you keep on track.
Other Courses
“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 deferred direct bill payment option for Booz Allen employees.
The deferred 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. See the full FlexEd Program Policy & FAQs.
Learn more about FlexEdThe deferred 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. See the full FlexEd Program Policy & FAQs.
Need help? Contact us