Machine learning is a critical technology—and it’s everywhere. You might notice an email being forwarded to spam on its own, or you might receive personalized, local recommendations from Yelp. These examples are powered by machine learning. AI is undoubtedly a key component of our future, so get ahead of the curve with Dataquest.

This skill path is great for those who want to discover advanced machine learning techniques like k-nearest neighbors, decision trees, neural networks and more!

Deepen your knowledge of specific concepts and techniques of machine learning such as:

  • Common problems and model performance evaluation
  • Modern neural networks and their applications
  • Selecting the best algorithm and fine-tuning your model for expert performance

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What You’ll Learn

Machine learning enables systems to learn and improve without direct instructions from users. This intermediate machine learning path is ideal for building on your current Python skill set. It covers essential machine learning techniques, including k-nearest neighbors, k-means clustering, and decision trees. You’ll build knowledge of machine learning, linear algebra, and discover the power of Kaggle, as well as the basics of building a machine learning project from start to finish.

Here’s are some of the skills you can expect to learn:

  • Fundamentals of machine learning and common pitfalls
  • Exploring key ideas from calculus to understand how mathematical functions behave
  • Understanding linear systems using linear algebra
  • Building knowledge of linear and logistic regress concepts
  • Discovering how to build decision trees and what they can represent
  • Diving into deep learning, including neural networks
  • Constructing a foundation in Kaggle
  • Learning the basics of how to prevent common machine learning problems like overfitting
Data Scientist in Python Salary Increase

Machine Learning Engineers earn over $146K according to Forbes

Data Scientist in Python Job Openings

Over 150,000 Machine Learning with Python jobs open on top recruitment sites.

Data Scientist In Python Job Growth

Indeed named Machine Learning Engineer the #1 best job in the U.S.

How Our Machine Learning with Python Skill Path Works

Our hands-on machine learning with Python courses will help you effectively cluster and classify your data, identify patterns, learn how to optimize machine learning algorithms to boost the accuracy, and more. Videos may work for some people, but we find that students retain significantly more knowledge when they learn by doing.

We don’t believe in learning through endless, boring videos and blind memorization. Our curriculum is hands-on and interactive. Say goodbye to constant and monotonous Google searches trying to find the best answer. Not only will you learn valuable skills in this course, you’ll also have the opportunity to practice them with dozens of practice problems and resume-building projects.
One of the best parts about Dataquest’s curriculum is that it’s structured yet versatile and flexible. We provide the map for optimal learning, but you set the pace and the route that works best for you.

With Dataquest, you’ll never learn alone. From our thriving community to our robust support tools, we’re here to help with everything.

Here’s a quick glance at this skill path:

  • This skill path consists of the courses listed below, which cover the intermediate topics you need to know about machine learning with Python.
  • You’ll perform hands-on machine learning using Python and answer practice problems to validate and apply your new skill.
  • Toward the end of the skill path, you’ll complete a guided machine learning project from start to finish to enhance your resume and reinforce your new knowledge.
  • When you complete the courses, you’ll receive a certificate as proof of your hard work that you can share with your professional network.
  •  After you receive your certificate, you’ll understand the in-demand skill of machine learning with Python. Additional data science courses are available if you want to add to your knowledge!
  • Engage with the community, get feedback on your project, and keep building.

Enroll in this career path to learn Machine Learning with Python today!

Probabilities and Statistics with Python Skill Path Course List

Machine Learning Fundamentals
Learn the basics of machine learning and explore how to avoid common pitfalls in machine learning.

Calculus For Machine Learning
Explore the key ideas from calculus for understanding how mathematical functions behave and prepare for intermediate machine learning techniques.

Linear Algebra For Machine Learning
Explore the key ideas from linear algebra for understanding linear systems and prepare for intermediate machine learning techniques.

Linear Regression For Machine Learning
Learn how to make predictions using the linear regression machine learning model, two different ways of fitting a linear regression model, and how to select, clean, and transform features.

Machine Learning in Python: Intermediate
Learn intermediate linear regression and logistic regression concepts and how to prevent overfitting, a common problem in machine learning.

Decision Trees
Understand the types of relationships in the data decision trees can represent, build a decision tree implementation, and learn how to use random forests machine learning model.

Deep Learning Fundamentals
Learn how neural networks are represented, how neural networks capture nonlinearity in the data, and how adding hidden layers can improve model performance.

Machine Learning Project
Walk through a machine learning project from start to finish.

Kaggle Fundamentals
Build a simple machine learning model, and make your first Kaggle sub-lesson; create new features and select the best-performing features to improve your score.

Who Is This Machine Learning Intermediate with Python Skill Path For?

This course requires prior knowledge of Python. If you’re eager to dive into machine learning, but don’t have a solid grasp on Python yet, please take our Machine Learning Introduction with Python course instead. 

Machine learning has practical applications in many everyday tasks. Building your skills in this exciting field will help in your current role and prepare you for future growth. Whether you're a developer looking to level up your machine learning skills for your next promotion, or a data scientist interested in expanding the tools at your disposal, this path will set you up for future success.

Start today, add a skill that’s useful everywhere, and prepare for your future.