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I want result and all histogram 1 - Define your problem. 2 - Collect your dataset. a . Describe the dataset in detail ( Explain
I want result and all histogram
Define your problem.
Collect your dataset.
a Describe the dataset in detail Explain each columns
b Define your input features and the target columns.
Provide clear visualizations of your dataset that help the viewers to understand the data.
Apply the following data preparation process:
a Check for duplicated and missing values.
b Please conduct feature selection using correlation analysis and provide a corresponding figure. Subsequently, explain the figure in detail, highlighting which variables exhibit a strong association with the target variable, and provide a rationale for the same.
c Apply class imbalance for your data. This is only for those who have classification problems.
Implement at least two machine learning algorithms and compare their results.
a For classification: illustrate the classification reports and discuss them.
b Implement Mean Square, Root Mean Square, and Mean Absolute Error for regression.
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