Top Sydney Machine Learning Courses
Find the perfect Machine Learning class for you in Sydney. We’ve found 6 courses available in-person or live online with class duration ranging from 12 hours to 5 weeks and pricing ranging from $299 to $2,990.
Python for Data Science Bootcamp Learn The Skills Guarantee™
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
- 30 hours
- Free retake
- Live Online or NYC
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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.Available live online (virtual training) from anywhere
- 30 Hours
- Free Retake
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.In-person @ 1 Market St, Sydney, NSW Also available online
- See provider
- 14 Hours
- Weekdays or Weekends
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.Available live online (virtual training) from anywhere
- 5 Weeks, 7 hr/wk
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.In-person @ 2A Gordon St, Rozelle, NSW
- 12 Hours
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.Available live online (virtual training) from anywhere
- 30 Hours
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