{"id":13000,"date":"2026-08-10T10:53:14","date_gmt":"2026-08-10T10:53:14","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-machine-learning-3-regression-2025-10\/"},"modified":"2026-08-10T10:53:14","modified_gmt":"2026-08-10T10:53:14","slug":"maven-analytics-machine-learning-3-regression-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/maven-analytics-machine-learning-3-regression-2025-10\/","title":{"rendered":"Maven Analytics \u2013 Machine Learning 3: Regression 2025-10"},"content":{"rendered":"
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Descriptions<\/h2>\n

Machine Learning 3: Regression & Forecasting, This course is part 3 of a 4-part series designed to help you build a deep, fundamental understanding of machine learning tools and techniques, from data profiling and QA to classification modeling, regression and forecasting, unsupervised learning, and more. You\u2019ll review the supervised learning landscape, revisit key concepts like feature engineering, splitting, and overfitting, and explore the world of regression modeling. The course introduces core building blocks such as linear relationships and least squared error, and demonstrates their application in univariate, multivariate, and non-linear regression models. You\u2019ll learn about common diagnostic metrics like R-squared, mean error, F-significance, and P-values, as well as important concepts like homoscedasticity and multicollinearity. Finally, you\u2019ll dive into time-series forecasting, exploring techniques for identifying seasonality, predicting nonlinear trends, and measuring the impact of business decisions using intervention analysis. Throughout the course, case studies are used to reinforce key concepts and connect them to real-world scenarios, including estimating property prices, forecasting seasonal trends, predicting sales for new product launches, and measuring the business impact of website changes. This is not a coding course; instead, you\u2019ll use familiar tools like Excel to demystify complex topics and see exactly how they work. If you\u2019re ready to build the foundation for a successful career in data science, this course is for you.<\/p>\n

What you\u2019ll learn<\/h3>\n