Machine Learning Using Python (2 Days) | SGInnovate
May 12
2018

Location

Level 3
8 Claymore Hill, Spacemob
Singapore 229572

Machine Learning Using Python (2 Days)

Presented by General Assembly. Partnered with SGInnovate

This two day workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualising data using Python and built-in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.

Note: This is a two day workshop and the second session will be on 19th May (Sat).

 

About This Workshop

This two day workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualising data using Python and built-in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.

 

Takeaways

After this lesson, you will be able to:

  • Collect data from a variety of sources (e.g., Excel, web-scraping, APIs and others)
  • Explore large data sets
  • Clean and "munge" the data to prepare it for analysis
  • Apply machine learning algorithms to gain insight from the data
  • Visualize the results of your analysis
  • Build your own library and Python scripts

 

Schedule

Day 1 - Developing the Fundamentals - 10AM - 5PM

Module 1: Introduction to Machine Learning (2.5 hours)

  • What is machine learning?
  • Installation and update of tools
  • Machine learning algorithms

Module 2: Exploring and using data sets (2.5 hours)

  • Learn the steps to pre-process a dataset and prepare it for machine learning algorithms

 

Day 2 - Diving into machine learning - 10AM - 5PM

Module 3: Supervised vs. unsupervised learning (2.5 hours)

  • Review of machine learning algorithms
  • Classification, linear regression and logistic regression
  • Random forests, clustering
  • Decision trees

Module 4: Model Evaluation (2.5 hours)

  • Feature Engineering and Model Selection
  • Model Evaluation Metrics - Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, F1 Score
  • Overfitting and Bias-Variance trade-off
  • Cross Validation

 

Prereqs & Preparation

Beginner/intermediate. This workshop is for analysts, product managers, mathematicians, business managers or anyone else that wants to learn about machine learning. A background in computer science, programming, and/or statistics is preferred for this workshop. It is not required but you are expected to be somewhat familiar with the command line tools and how to write simple programs. Recommended that you take the “Python for Beginners” workshop prior to attending this.

 

About the Instructor

Anthony Ta - Data Scientist, GO-JEK

Anthony is a National University of Singapore grad with strong interest in finding meaningful information from data and applying them to help improve many aspects of life . Previously working in neuroscience, he is now a Data Scientist at GO-JEK, Indonesia’s first unicorn and is currently the fastest growing start-up in South Asia. During free time, you can find him wandering around with a camera to capture sceneries and portraits.

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics

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