Remember to confirm your employer’s expense policy and/or get approval from your manager before purchasing a Modal Course! Please refer to any internal guidelines for the most accurate instructions for getting reimbursed.
After you enroll in a Modal Course, you will receive a receipt via email. Be sure to double check what your company requires, but typically you can attach this receipt to your company’s expense software, or forward it directly to your accounting team for reimbursement. Please reach out to support@modal.io if you need help adding extra required information to your receipt or if you have any questions.
Some employers require a certificate of completion before reimbursing an educational expense like this one. Upon completion of your course, you will receive your certificate via email, and will also be able to download your certificate from your Modal Dashboard. Your certificate will include your name, the course name, and the month/year you earned your certificate.
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Data Professionals interested in building on their foundational supervised ML knowledge by learning new models for classifying data and making predictions.
Machine Learning
• Knowledge of linear and logistic regression and basic principles of machine learning.
• Familiarity with supervised learning algorithms.
• Identifying regression vs. classification ML problems.
• Model evaluation methods including train/test split and statistics such as mean absolute error, accuracy, precision, recall, and F1 score.
• The concept of overfitting and underfitting.
Python
• Strong familiarity with Python, including data structures, loops, functions, code debugging, and reading error messages.
• Experience with data manipulation using the Pandas library.
By the end of the course, you’ll know how to develop ML pipelines to implement Decision Trees, Ensemble Methods, and Naive Bayes Classifiers to solve classification and prediction problems, and reliably choose the right algorithm for the job.
Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!
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.
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.
