deatiled explanation and python code for Problem

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Context

The comp

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activ database comprises activity measures of computer systems. Data was gathered from a Sun Sparcstation

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$7$

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$$Mbytes of memory, operating in a multi

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user university department. Users engaged in diverse tasks, such as internet access, file editing, and CPU

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intensive programs.

Being an aspiring data scientist, you aim to establish a linear equation for predicting 'usr'

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the percentage of time CPUs operate in user mode

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$$Your goal is to analyze various system attributes to understand their influence on the system's 'usr' mode. Problem

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$$Define the problem and perform exploratory Data Analysis

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$$Problem definition

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$$Check shape, Data types, statistical summary

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$$Univariate analysis

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$$Multivariate analysis

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$$Use appropriate visualizations to identify the patterns and insights

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$$Key meaningful observations on individual variables and the relationship between variables

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Problem

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$$Data Pre

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processing

Prepare the data for modelling:

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$$Missing Value Treatment

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if needed

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$$Outlier Detection

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treat

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$$if needed

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$$Feature Engineering

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$$Encode the data

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$$Train

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test split

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Problem

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$$Model Building

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$$Linear regression

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$$Apply linear Regression using Sklearn

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$$Using Statsmodels Perform checks for significant variables using the appropriate method

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$$Create multiple models and check the performance of Predictions on Train and Test sets using Rsquare, RMSE & Adj Rsquare.

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Problem

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$$Business Insights & Recommendations

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$$Comment on the Linear Regression