机器学习作业代做 Project Description-Machine Learning

Project Description-Machine Learning

机器学习作业代做 Check the performance on the training data and write your observations from the 3 below classification repart and confusion matrix

Part i Question 1  机器学习作业代做

Write the code to find the summary statistics and write your observations based on that.

Part 1 Question 2

Write the code to plot the correlation heatmap between the variables Write your observations

Part 1 Question 3  机器学习作业代做

Create a scatter plot to visualize the relationship between the features having significant correlations [>0.7)Write your observations from the plots

Part i Question 4

Drop the column TAX from the training data and check if multicollinearity is removed?

Part 1 Question 5  机器学习作业代做

Write the code to create the linear reeression model and print the model summary 3
Wirite your observations from the model

Part 1 Question 6

Drop insignificant variables from the above model and create the regression model2 again.

Part 1 Question 7  机器学习作业代做

Write the code to check the above linear regression assumptions and provido insights.

Part 1 Question 8

Write your observations by comparing model performance of train and test datasel

Part 1 Question 9  机器学习作业代做

Apply the cross validation technique to improve the model and evaluate it using different evaluation metrics.

Part 1 Question 10

Get model Coefficients in a pandas dataframe with column 'Feature having all the "" features and column Coefs' with all the corresponding Coefs. Write the regression equation.

Part 1 Question 11  机器学习作业代做

Write the conclusions and business recommendations derived from the model

Part 2 Question 1

Write the observations from the below summary statistics

Part 2 Question 2  机器学习作业代做

Write the code to check the percentage of each catepory for cateporical columns(cat_col Write your observations

Part 2 Question 3

Drop the target variable from the original data and store it in a separate dataframe x2 Store the target variable in a separate series Y

Part 2 Question 4

Fit the logistic regression model on the train dataset using random state= 1

Part 2 Question 5  机器学习作业代做

Write your observations on the below coefficients obtained from the logistic 3 regression model

Part 2 Question 6

Wirite your interpretations of the odds calculated from the logistic regression mode " coefficients

Part 2 Question 7  机器学习作业代做

Check the performance on the training data and write your observations from the 3 below classification repart and confusion matrix for the training set

Part 2 Question 8

Compare the performance of the model on training and testing sets after changing the threshold

Part 2 Question 9  机器学习作业代做

Fit the KNN model on the scaled training cata using the optimal values of hyperparameters obtained from GridSearchcv Check the performance of the model on the scaled training and testing sets Compare the performance and write your observations

Part 2 Question 10

Write the conclusion on the key factors that are driving the cancellations and write ! your ecommendations to the business on how can they minimize the number of cancellations.

Points

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