Top Machine Learning Courses

Find the perfect Machine Learning class for you. We’ve found 16 courses available in-person or live online with class duration ranging from 12 hours to 72 weeks and pricing ranging from $299 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.

    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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  • 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.

    Locations:
    • NYC
    • Live Online
    • NJ
    • $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.

    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:
    • San Francisco
    • New Haven
    • Tulsa
    • San Juan
    • Mexico City
    + 8 more
    • See provider
    • 72 Weeks, 8 hr/wk
    • Weekdays
    • Beginner
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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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  • Sydney Community College Machine Learning using Python: A Practical Introduction

    This 12-hour machine learning with Python course provides students with the foundational theory and skills needed to design machine learning algorithms to help make sense of data. The course covers a range of introductory machine learning and Python concepts, including an introduction to Python and machine learning, some background as to why Python is great for machine learning, getting started with Python, basics of data structures, syntax for conditional statements, working with functions, using PANDAS, data visualizations, linear regression, general statistics concepts, model evaluation metrics, decision trees, and more.

    Locations:
    • Sydney
    • $299
    • 12 Hours
    • Weekdays
    • Beginner
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  • Deep Dive Coding Data Science Deep Dive: Natural Language Processing

    This 2-week Natural Language Processing (NLP) virtual bootcamp will teach data science professionals how to design and implement custom NLP models. This workshop covers a wide range of NLP tools and concepts, including text classification, regular expressions, preprocessing text, language models, sequence tagging, vector space language models, word embedding, sentiment analysis, and more.

    Locations:
    • Albuquerque
    • $1,999
    • 2 Weeks, 36 hr/wk
    • Weekdays
    • Intermediate
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  • Georgetown School of Continuing Studies Data Analysis II: Machine Learning

    This course is an introduction to Machine Learning with Scikit-Learn. The curriculum will explore several clustering, classification, and regression algorithms commonly used for machine learning tasks and learn how to implement these tasks with our data using Scikit-Learn and Python. Students will learn how to structure machine learning models. This course is part of the school’s Certificate in Data Science program.

    Locations:
    • Washington, D.C.
    • $1,249
    • 18 Hours
    • Weekends
    • Advanced
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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.

    Locations:
    • NYC
    • Live Online
    • $1,990
    • 5 Weeks, 4 hr/wk
    • Weekends
    • Intermediate
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