Self-paced video training — 4 modules, 14 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.
▶INSIDE THE COURSE · 14 LESSONSABOUT THIS COURSE
In this advanced course, students explore deep learning concepts and artificial neural networks (ANN) while focusing on real estate applications. The curriculum covers data analysis techniques, including exploratory analysis and data visualization, before guiding learners through building and evaluating neural network and multiple linear regression models. By the end, students will have practical experience modeling real estate data and insights into the intricacies of machine learning in this domain.
CURRICULUM
overview of the course structure and what to expect throughout the lessons.
introduction to deep learning and its significance in machine learning.
explanation of artificial neural networks and their role in deep learning.
key terminology related to neural networks that is essential for understanding the concepts.
tips on how to effectively engage with the course material for better learning.
a brief overview of the course and its main objectives.
guidance on how to import necessary libraries and datasets for analysis.
methods for exploring and understanding the dataset before analysis.
importance of scaling features for improving model performance.
techniques for visualizing data to gain insights and patterns.
process of splitting data into training and testing sets for model evaluation.
construction and implementation of a neural network model.
introduction to multiple linear regression as a foundational modeling technique.
expressing gratitude and concluding remarks for the course.
CURATED BY

Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.
GOOD TO KNOW
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Watch on two devices at once — phone, tablet or desktop.
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$39 · ONE PAYMENT
One payment unlocks all 14 lessons instantly — start with lesson one the moment you check out.