Top Machine Learning Courses

Find the perfect Machine Learning class for you. We’ve found 22 courses available in-person or live online with class duration ranging from 12 hours to 72 weeks and pricing ranging from $299 to $4,549.

  • Noble Desktop Python Machine Learning Bootcamp

    In this 18-hour course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

    Locations:
    • NYC
    • Live Online
    • $1,895
    • 30 Hours
    • Weekdays
    • Intermediate
    • Free Retake
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  • NYC Data Science Academy Data Science with R: Machine Learning

    This course in machine learning with R introduces novice R programmers a foundation in machine learning theory. The course covers the foundations of statistics and simple linear regressions, multiple linear regression and generalized linear models, kNN and Naïve Bayes, the curse of dimensionality, tree models, and SVMs. Students who complete this course will understand the mathematics behind machine learning algorithms and be able to use them in real-world situations.

    Locations:
    • NYC
    • Live Online
    • $2,990
    • 5 Weeks, 7 hr/wk
    • Weekends
    • Intermediate
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  • Practical Programming Machine Learning Immersive

    This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.

    Locations:
    • NYC
    • Live Online
    • $1,195
    • 18 Hours
    • Weekdays
    • Intermediate
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  • Emory Continuing Education Applied Machine Learning & Data Science With Python

    Master Python basics at both a conceptual and applied level in this 7-week course. Students closely examine a wide range of data science areas, such as data collection, visualization, preprocessing, and application of machine learning algorithms, in order to solve complex problems. Specific topics include fundamental data analysis, model building using Scikit-Learn and other platforms, database manipulation, text usage, and time series analysis.

    Locations:
    • Atlanta
    • $2,795
    • 56 Hours
    • Weekends
    • Beginner
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  • General Assembly Python and Machine Learning Bootcamp

    This Python and machine learning course is a 2-day bootcamp designed for individuals with some familiarity with Python programming looking to advance their skill set. In this hands-on bootcamp, students will learn how to use some Python data science libraries and various machine learning techniques. Day one of the bootcamp focuses on introducing students to two data science libraries (NumPy and Pandas), best practices for preparing data, an intro to machine learning, and regression analysis. Day two starts off with cross validation and regularization of data, concludes with classification, and brings everything learned in days one and two together.

    Locations:
    • Atlanta
    • Austin
    • Boston
    • Charlotte
    • Chicago
    + 27 more
    • See provider
    • 14 Hours
    • Weekdays or Weekends
    • Intermediate
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  • Holberton School Machine Learning

    This 72-week Machine Learning program was designed to teach students the skills they need to launch careers in the fields of computer science, software engineering, and machine learning. This program is split into six trimesters and covers a wide range of computer science and machine learning tools and concepts. The first three trimesters focus on computer science and software engineering, with a focus on Linux, data structures, algorithms, various programming languages, databases, and more. The final three trimesters are very math-heavy, and focus on computer vision, natural language processing, autonomous driving, working with Pandas, Numpy, Tensorflow, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.

    Locations:
    • New Haven
    • Tulsa
    • San Juan
    • Mexico City
    • Montevideo
    + 7 more
    • See provider
    • 72 Weeks, 8 hr/wk
    • Weekdays
    • Beginner
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  • iD Tech Machine Learning: Coding Deep Neural Networks

    Designed for ages 13-18, this course covers the fundamentals of computational thinking and machine learning with Python and TensorFlow.

    Locations:
    • Los Angeles
    • Miami
    • Seattle
    • $4,549
    • 2 Weeks
    • Weekdays
    • Beginner
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  • Digital Media Academy Adventures in Coding and Artificial Intelligence

    Students ages 9-12 learn about artificial intelligence and machine learning through hands-on practice in this weeklong course. As they build chatbots and discover natural language processing, students learn to program in scratch and Python.

    Locations:
    • Vancouver
    • Orange County
    • San Diego
    • Boston
    • Toronto
    • $1,978
    • 1 Week
    • Weekdays
    • Beginner
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  • Stanford Pre-Collegiate Summer Institutes Artificial Intelligence

    Students in grades 10-11 who have some experience in programming develop advacned Python skills in this artificial intelligence course. As they build supervised, unsupervised, and reinforcement learning algorithms, students tackle the practical and ethical problems of machine learning.

    Locations:
    • Live Online
    • $2,700
    • 2 Weeks
    • Weekdays or Evenings
    • See provider
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  • Tandon Summer Programs Machine Learning

    In this course, high school students work with NYU instructors to learn machine learning and artificial intelligence. As they work through the curriculum, students discover important concepts like regressions, models, and neural networks.

    Locations:
    • NYC
    • $2,100
    • 2 Weeks
    • Weekdays
    • See provider
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  • Promotable Python for Data Science and ML

    With Python for Data Science and ML, Promotable students spend eight weeks learning Python through practical applications. Students build supervised and unsupervised machine learning models with their new Python skills and create a data visualization with Matplotlib and Seaborn.

    Locations:
    • Live Online
    • $2,500
    • 8 Weeks
    • See provider
    • Intermediate
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  • MAX Technical Training Introduction To Data Science, Machine Learning & AI

    Move beyond data science basics in this five-day intermediate course. Participants gain the skills and confidence they need to work with open-source or proprietary tools. Specific topics include understanding machine learning, analyzing various data sources, using classifiers to predict business behavior, using algorithms for market segmentation, discovering latent customer tendencies, leveraging neural networks to learn from observations, and exploring relationships between people and products.

    Locations:
    • Cincinnati
    • $3,190
    • 5 Days
    • See provider
    • Beginner
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