Supervised Learning: Algorithms and Business Use Cases I
Learn how supervised learning techniques like linear regression, logistic regression, and Naive Bayes aid in predictive analytics, classification, and business decision-making. Understand how these algorithms apply to real-world scenarios such as sales forecasting, customer classification, and spam detection to enhance automation and derive valuable business insights.
We'll cover the following...
We'll cover the following...
Linear regression
Remember in high school when you had to plot data points on a graph with an X-axis and a Y-axis and then find the line of best fit?
That is a very simple ML algorithm, linear regression. In technical terms, linear regr ...
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Business use cases
- Predictive analytics: demand and sales volume analysis e.g., number of