$1.$ Analyze the dataset and explain whether this is a Regression or Classification andwhich algorithm will you apply for this problem.Explain the concept of dependent and independent variables and which is thedependent variable in this dataset.$($Explanation should be included in a Word document $5$ Marks$)2.$ Using Jupyter Notebook or any suitable IDE:$($a$)$ import the necessary libraries$($b$)$ read the dataset$($Code $2$ Marks$)3.$ Analyze the dataset by$($a$)$ display the first $12$ rows$($b$)$ display the last $5$ rows$($c$)$ print the number of rows and columns in the dataset$($Code $3$ Marks$)4.$ Check if this dataset has any missing values and print the result$($Code $2$ Marks$)$Artificial IntelligenceAssignment $125.$ Implement the correct algorithm required for this task $($Linear or Logistic$)($a$)$ Extract the X feature and Y target$($Code $2$ Marks$)($Include explanation in the Word document about X feature and Y target$($Explanation $1$ Mark$)($b$)$ Divide the data into training and testing sets to evaluate the models performanceon unseen data. Keep the test size $=0\mathrm{.}25$ and random state $=42($Code $2$ Marks$)($c$)$ Implement the algorithm and find the first $10$ values for the actual data and thepredicted values$($Code $2$ Marks$)6.$ Result$($a$)$ Show the result with the Confusion Matrix$($Code $2$ Marks$)($In your Word document, explain the values obtained in this matrix $2$ Marks$)($b$)$ Calculate and print the Precision, Recall and F$1$ Score$($Code $3$ Marks$)($Explanation $1$ Mark$)7.$ ConclusionList your learnings from this assignment and your overall understanding of the MLalgorithm you implemented