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No-Code-ML 2 - Regression Model

Simple Regression

This workflow demonstrates how to build a Simple Linear Regression model to predict a numerical target variable (Sales) based on a single predictor variable (YouTube Advertising Spend).

Predict Sales using Marketing Spends

This dataset contains advertising spend across three marketing channels: YouTube, Facebook, and Newspaper. The objective is to understand the relationship between advertising investments and product sales.

Using Simple Linear Regression, we will build a predictive model to estimate Sales based on advertising spend. The workflow demonstrates how machine learning can identify patterns in historical marketing data and use those patterns to predict future sales outcomes.

CSV Reader
Sales vs Youtube
Scatter Plot
Create Train and Validation Data
Table Partitioner
Build Model
Linear Regression Learner
Regression Predictor
Numeric Scorer
Regression Predictor
Numeric Scorer

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