Introduction to Machine Learning II

Learn how to preprocess and visualize time series data

  • Python, SQL
  • Pre-Requisite: Introduction to Machine Learning II
  • Difficulty: Beginner
  • Duration: 3 Days

Course details

Looking to boost your forecasting skills? Look no further than our Time Series Modeling with fbprophet course! With step-by-step guidance, you’ll learn how to preprocess and visualize time series data, model with fbprophet’s baseline, trend, and seasonality components, evaluate your models with train-test split and MAPE metrics, and even tune your hyperparameters for optimal performance. fbprophet is highly flexible and can easily incorporate seasonality, trends, and holiday effects. Suitable for beginners and pros alike, this course is the perfect way to level up your forecasting game. Don’t wait – enroll now and start forecasting like a pro!

Please bring along:

  • 1x Laptop
  • Purchased Ticket


  • Working with Time Series

    Day 1

  • Modeling using fbprophet

    Day 2

  • Forecasting Evaluation

    Day 3

  • Model Improvement

    Day 3

Course Producer

Samuel Chan

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

3-Day Workshop Modules

Syllabus: Introduction to Machine Learning II

Module 1: Working with Time Series

  • Data Preprocessing
  • Visualization: Multiple vs Multivariate Time Series

Module 2: Modeling using fbprophet

  • Baseline Model
  • Trend Component
  • Seasonality Component
  • Holiday Effects
  • [optional] Adding Regressors

Module 3: Forecasting Evaluation

  • Train-Test Split
  • Evaluation Metrics: MAPE
  • Expanding Window Cross Validation

Module 4: Model Improvement

  • Hyperparameter Tuning

Program Receivables:

  • Cutting Edge Curriculum

    A hands-on coding bootcamp with the opportunity to work on real datasets donated by businesses and the public sector. Coursebooks (PDF/HTML files), data set for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project-Oriented Learning

    Work with real-life cases and learn under the assistance of our qualified instructors throughout the 1-month course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A structured approach to learning data analysis

The Data Analytics Specialization is a 4-week bundle that is curated to accelerate a student’s mastery in building data products, develop a web application, and data visualization.

Students are not assumed to have a working knowledge of Python or prior proficiency in statistics/mathematics/algebra. As such the workshop follows a gentle learning curve and emphasizes hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Learn data analysis by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of Data Analytics Specialization

This course is part of the Algoritma Data Analytics Specialization. Participants are rewarded with a certificate of completion upon passing criteria.