Start Machine Learning Today!

Fast-paced introduction to using Python for basic machine learning, covered the fundamentals you need to know how to set up machine learning models.

Upcoming Course
Schedule

Apr 22, 2019 - May 20, 2019
Data Analysis with Python
Apr 23, 2019 - Jun 18, 2019
Machine Learning

Full Details of Each Course

Machine Learning

Starts Apr 23, 2019
8 Weeks: 7pm - 9pm, Tuesday & Thursday
15,000,000

Your Teachers

First slide
Tan Tran
Machine Learning 01

A bachelor from Advanced Program in Computer Science of University of Science (VNU-HCMC) and having strong academic and researching background. Dedicated, love sharing knowledge and have big ambition in machine learning. Finding motivation, interest in every machine learning problems and now being a part of CoderSchool to spread the passion to everyone who wants to begin with machine learning.

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First slide
Do Hai Minh
A goal-oriented, ambitious programmer with strong analytical technical background of education & practices.

Proactive, hard-working in nature and delicate for quality of solution and performance. Finding passion & motivation in challenges relating to creative problem-solvers

View Profile on LinkedIn

CLASS DESCRIPTION

Machine Learning is one of the most exciting, interesting, and accessible careers to get into today. No experience is required - we’ll teach you everything you need to learn how to build predictive models for everything from stock prices to image recognition. This introductory 8-week course will cover the basics of Python, Pandas, and scikit-learn to teach you to analyze and make predictions for many different types of data.

REQUIREMENTS

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 4 weeks Machine Learning Level 2 Course.

Detailed Timeline

Weeks 1-2 - Data and Regression

Python, pandas, numpy

Linear Regression, Multiple Linear Regression, Polynomial Regression

Project: E-Commerce Prediction

Weeks 3-4 - Logistic Regression + Random Forests

Decision Trees, Logistic Regression

Natural Language Processing

MNIST Image Recognition

Weeks 5-6 - Advanced Techniques

Naive Bayes, SVM, KNN

Cross Validation and GridSearch

Fraud Detection

Weeks 7/8 - Unsupervised Learning

Principal Component Analysis

K-Means and Hierarchical Clustering

Final Project

Detailed Course Schedule

Course Time Teacher
Machine Learning23 Apr - 18 Jun7pm - 9pm, Tuesday & ThursdayTan TranApply NowStudent and Early Bird Discounts available
Data Analysis with Python22 Apr - 20 May7pm - 9pm, Monday & WednesdayDo Hai MinhApply NowStudent and Early Bird Discounts available

Do none of these times work for you?

Data Analysis with Python

Starts Apr 22, 2019
4 weeks: 7pm - 9pm, Monday & Wednesday
8,000,000 VND

Your Teachers

First slide
Tan Tran
Machine Learning 01

A bachelor from Advanced Program in Computer Science of University of Science (VNU-HCMC) and having strong academic and researching background. Dedicated, love sharing knowledge and have big ambition in machine learning. Finding motivation, interest in every machine learning problems and now being a part of CoderSchool to spread the passion to everyone who wants to begin with machine learning.

View Profile on LinkedIn
First slide
Do Hai Minh
A goal-oriented, ambitious programmer with strong analytical technical background of education & practices.

Proactive, hard-working in nature and delicate for quality of solution and performance. Finding passion & motivation in challenges relating to creative problem-solvers

View Profile on LinkedIn

CLASS DESCRIPTION

This course will introduce the main concepts and tools necessary for you to use data effectively. A strong understanding and control of data is a benefit for every job, whether you're a dentist or a business analyst. Data is the language of the 21st century - learn to speak it in just 4 weeks with CoderSchool's hands-on, practical course.

REQUIREMENTS

Programming experience is not necessary but will help. The only requirements for this course are a laptop computer and a desire to learn. Expect workload to be roughly 10 hours of week. This course will be taught in English

Detailed Timeline

Week 1 - Introduction to SQL

Introduction to Relational Databases

Have a strong foundation for using SQL

Airline Satisfaction Survey

Week 2 - Data Visualization

Introduction to Python & Jupyter Notebook

Matplotlib and Seaborn

Types of plots

Week 3 - Data Processing

Converting between types of data

Grouping Data

Cleaning and normalizing data

Week 4- Google Data Studio

Interact with charts and tables

Connect to your data

Date range and filter properties

Detailed Course Schedule

Course Time Teacher
Machine Learning23 Apr - 18 Jun7pm - 9pm, Tuesday & ThursdayTan TranApply NowStudent and Early Bird Discounts available
Data Analysis with Python22 Apr - 20 May7pm - 9pm, Monday & WednesdayDo Hai MinhApply NowStudent and Early Bird Discounts available

Do none of these times work for you?

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