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Classic Machine Learning with Python

Master the most popular machine learning algorithms and methods available in Python's ecosystem.

Classic Machine Learning with Python

What will I learn?

Learn about the most widely used machine learning algorithms and their Python implementations.

Gain an understanding of when to use each algorithm or modeling technique.

Build two capstone projects using the algorithms and techniques you've learned.

Course Curriculum

Module 1
Python and Pandas Warm-Up

Brush up on some critical Pandas and exploratory data analysis concepts.

Module 2
Data Preparation and Simple Learners

Dive into the basics of machine learning, starting from feature selection and engineering, through simple supervised modeling algorithms.

Module 3
Ensemble Methods and Unsupervised Learning

Gain an understanding of how simple learners are combined into some of the most powerful data modeling methods currently in use.

Module 4
First Capstone Project

With your instructor's guidance, use what you've learned in this class to build a custom project.

Module 5
Second Capstone Project

With your instructor's guidance, use what you've learned in this class to build a custom project.

Elite instructors

Learn from an elite team of industry experts who have taught at universities such as Harvard, and have trained teams at companies such as Qualcomm.

Tailored content

We customize training content to match your team's goals. During training, your team works on projects that are relevant to your business.

Hands on

All our trainings involve in-class, hands on practice that is relevant to your team's goals. At the end of the training, your team will be ready to hit the ground running.

On site and live online

Choose whether you prefer in-person training, or you need the online participation of a geographically distributed team.


Data Processing with Python or equivalent.

Frequently Asked Questions

1. Who is this course for?

This course is aimed at engineers who have a basic familiarity with Python and Pandas, and who want to start using some of the most popular classic machine learning algorithms and methods available in Python’s ecosystem. Please note: this course does NOT cover deep learning.

2. Is this a MOOC (Massive Open Online Course)?

Absolutely not. Unlike other internet courses, this course is completely live. Your instructor lectures in real time (either on-site, or live on-line) and can answer questions and provide real-time, tailored feedback so you can reach your goals as fast as possible. At Edlitera, we believe nothing beats the experience of learning live from an elite instructor with extensive industry experience. 

3. What is the format of this course?

The course combines lecturing, hands-on exercises to be solved both individually and in pairs, as well as one or two larger projects that require participants to use their newly acquired knowledge to solve real-world problems.

Exercises and projects are chosen to be relevant to the type of problems that your team encounters daily. Our goal is to deliver practical, immediately applicable knowledge, and to empower your team to hit the ground running after each training. Our instructors can teach this course on site at your offices or live online.

4. Can you tweak the content of the course for my team?

Of course! While we do offer a standard version of this course, we can also work with you to tailor the content such that it fits your team's priorities perfectly. 

5. What if I have other questions?

If you have other questions, or want to find out more about this course or other courses we offer, please ping us - we love questions! You can email us at [email protected], or get in touch via the chat box below.