Top Live Online Machine Learning Courses

Find the perfect Machine Learning class for you available live online. We’ve found 15 courses available via remote learning with class duration ranging from 14 hours to 72 weeks and pricing ranging from $1,099 to $3,950.

  • 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.

    • $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.

    • $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.

    • $1,195
    • 18 Hours
    • Weekdays
    • Intermediate
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  • NextGen Bootcamp Python Machine Learning Summer Course (Level 2)

    This 2-week advanced Python course helps high school or college students expand their Python programming skills to machine learning and automation. This course breathes life into industry buzzwords like automation and machine learning, so students can meaningfully contribute to large and small organizations. Once participants master tools like logistic and linear regression, students learn more advanced topics, including algorithms with k-nearest neighbor, decision tree, and random forest algorithms. As a result, students quickly master sought-after skills such as variance, bias, fitting, and other statistical concepts.

    • $1,299
    • 30 Hours
    • Weekdays
    • Advanced
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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.

    • 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.

    • See provider
    • 72 Weeks, 8 hr/wk
    • 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.

    • $2,700
    • 2 Weeks
    • Weekdays or Evenings
    • 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.

    • $2,500
    • 8 Weeks
    • See provider
    • Intermediate
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  • NYC Data Science Academy Data Science with Python: Machine Learning

    This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and complex linear regressions, classification methods for logistic regression, discriminant analysis, and naïve Bayes, support vector machines and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions.

    • $1,990
    • 5 Weeks, 4 hr/wk
    • Weekends
    • Intermediate
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  • Noble Desktop Machine Learning & Automation for Finance

    This course will begin with advanced Python and statistic topics such as object-oriented programming and regression models. After learning this first module, students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression. The next section of the course will introduce students to important financial statements and ratios. After students learn these financial concepts, they will be introduced on how to pull data from these statements and compute these important financial ratios using Python.

    • $1,295
    • 18 Hours
    • Weekdays, Evenings, or Weekends
    • Intermediate
    • Free Retake
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  • BrainStation Machine Learning Certificate

    This machine learning course teaches the fundamentals of how to use Python programming for machine learning functions. Students will learn about clustering algorithms, recurrent neural networks, natural language processing, and regression and classification techniques. Completion of this program will give students the ability to understand and even solve real-world machine learning problems.

    • $3,950
    • 30 Hours
    • Evenings
    • Beginner
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  • Clarusway Machine Learning

    This course shows students how to use scientific methods, procedures, algorithms, and systems necessary for Data Scientists and Machine Learning Engineers. Instructors demonstrate how to build complex quantitative algorithms, synthesize large amounts of information, and gain technical communication skills for reporting results.

    • See provider
    • 3 Months
    • See provider
    • Advanced
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