Introduction to Machine Learning

Fast-paced introduction to using Python for basic machine learning. Topics covered are decision trees, linear/logistic regression, and random forest classifiers - all the basics you need to know to set up your first machine learning models.

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Start day

Aug 28

4 weeks

7 - 9pm

Tue & Thu

6,000,000 VND

Student Discount Available

Copac Square

G - floor, 12 Ton Dan, District 4


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Graduates will understand the basics of using Python and its libraries including Pandas and Scikit-Learn to analyze data and build basic classifiers. The capstone project is to perform image recognition on the MNIST image dataset. By completing the course, graduates will be qualified to take the following 5-week Advanced Machine Learning Course, in which they will study to become a professional Data Scientist/Machine Learnist.


The course is a prerequisite to the 5-week Advanced Machine Learning Course, in which you will study to become a professional Data Scientist/Machine Learnist.

Week 1 - Exploring Data

Lecture: Python Intro. What is Data Science?

Lab: Exploring Breast Cancer

Assignment: Predicting Survival on the Titanic

Week 2 - Linear Regression

Lecture: Explaining Linear Regression

Lab: Exploring Restaurant Reviews

Assignment: Predicting Stock Prices

Week 3 - Logistic Regression

Lecture: Logistic Regression, Dummy Variables

Lab: Predicting University Student Admissions

Assignment: Predicting if your Wife Will Have an Affair

Week 4 - K-Means and Random Forests

Lecture: Build Your First Classifiers

Lab: Basic Image Recognition

Assignment: MNIST Handwriting Image Recognition


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Hoan Le

Senior Android Developer

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Dan Tong

Director of Kodimo Technologies

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Senior Software Engineer

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Engineer at PIXA studio

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Tran Quang Hoa

Software Engineer

If you are looking for courses not only to improve your programming skills but also to meet many talented people and to practice working in a multinational environment, I recommend you to apply.

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