Training Machine Learning Models in Power BI
Power BI 2023
| Intermediate
- 12 videos | 1h 43m 9s
- Includes Assessment
- Earns a Badge
Machine learning (ML) in Power BI provides a dynamic and transformative dimension to data analysis. This feature enables users to create predictive models, discover patterns, and make data-driven decisions while requiring no programming or machine learning expertise. You will start this course by creating a binary classification model that will be used to predict categorical variables. You will load in data and perform exploratory data analysis, including visualizing the data and extracting insights. Then, you will create and train a binary classification model and use it for predictions. After training the model, you will view the training report that will allow you to evaluate your model's performance. Next, you will build a regression model to predict the value of a continuous variable. You will load in the data and perform preprocessing steps to clean your data. You will also perform exploratory data analysis and visualize your data to extract insights about patterns and trends in your data. Then, you will create and train your regression model and learn how to interpret the training report generated by Power BI. Finally, you will perform multi-class classification.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Explore data for binary classification
Train a binary classification model
Analyze and interpret the training report
Perform cost-benefit analysis
Explore data for regression -
Train a regression model
Interpret a regression training report
Load and explore data for classification
View training metrics for classification
Retrain the model with new data
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 58sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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11m 41sIn this video, find out how to explore data for binary classification. FREE ACCESS
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3. Training a Binary Classification Model9m 16sLearn how to train a binary classification model. FREE ACCESS
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4. Analyzing the Training Report, Top Influencers, and Probability Thresholds10m 38sIn this video, you will learn how to analyze and interpret the training report. FREE ACCESS
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5. Performing Cost Benefit Analysis and Assessing Model Performance12m 50sFind out how to perform cost-benefit analysis. FREE ACCESS
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6. Exploring Data Loading and Exploratory Data Analysis for Regression11m 15sIn this video, learn how to explore data for regression. FREE ACCESS
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7. Configuring and Training a Regression Model4m 57sFind out how to train a regression model. FREE ACCESS
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8. Evaluating and Interpreting the Training Report10m 42sDuring this video, discover how to interpret a regression training report. FREE ACCESS
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9. Loading Data and Exploring Multi-class Classification10m 46sDiscover how to load and explore data for classification. FREE ACCESS
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10. Viewing Training Metrics for Multi-class Classification11m 45sIn this video, you will learn how to view training metrics for classification. FREE ACCESS
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11. Retraining the Model with New Data4m 35sLearn how to retrain the model with new data. FREE ACCESS
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12. Course Summary2m 48sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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