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Your receipt

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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.
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.
Reimbursement FAQ

Course Overview

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.

What’s in a Modal course?

1:1 Coaching
Receive personal guidance, instruction, and motivation from real, practicing industry experts.
Real-world simulations
Practical coursework blends simulated and real-world projects, ensuring you are building job-ready skills.
Integrated code editor
In-browser coding environment mitigates challenges while enabling paired programming and inline feedback.
Structure & flexibility
Engage with content when your schedule allows. Our assignments and deadlines help you stay on track and our coaches keep you accountable.
Individual guidance
Courses for a variety of career goals, skill needs, and company objectives, ensuring learning is both relevant and productive.
Capstones projects
Challenging and satisfying capstone projects allow you to demonstrate the skills you’ve learned, while reinforcing collaboration and business skills.

Meet our coaches

Linda Liu
Director, Data Science & Analytics

Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!

Nataliia Maksimova
Director, Business Intelligence

It's incredibly inspiring to introduce people to the fascinating world of data. Sharing my passion for data and showing that it's not just dry numbers but a creative field where you can grow and innovate is deeply rewarding.

Udit Mehrotra
Senior Data Scientist

Seeing the growth in my learners is not only heartening but also assuring because I know I had a significant role to play in shaping their journey.

Interested in buying multiple seats for your team?
Contact us