Foundations for Data Science Criteria Points Question 1 Find the…
Question Answered step-by-step Foundations for Data Science Criteria Points Question 1 Find the… Foundations for Data ScienceCriteria PointsQuestion 1Find the summary statistics for numerical columns and observations. (use describe function)4Question 2 observations on the acceptance rate for each campaign4Question 3 observations on acceptance rate for each campaign according to the income level7Question 4Write the code and your observations on average amount spent on different products across all campaigns7Question 5Write the code and your observations on average number of purchases from different channels across all campaigns7Question 6Write the code and your observations on percentage acceptance for different categorical variables across all campaigns7Question 7Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables7Question 8 observations on percentage purchases from different channels for different categories of the income_cat column4Question 9Find the correlation matrix for the columns mentioned below and visualize the same using heatmap3Question 10Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy10Foundations for Data ScienceCriteria PointsQuestion 1Find the summary statistics for numerical columns and observations. (use describe function)4Question 2 observations on the acceptance rate for each campaign4Question 3 observations on acceptance rate for each campaign according to the income level7Question 4Write the code and your observations on average amount spent on different products across all campaigns7Question 5Write the code and your observations on average number of purchases from different channels across all campaigns7Question 6Write the code and your observations on percentage acceptance for different categorical variables across all campaigns7Question 7Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables7Question 8 observations on percentage purchases from different channels for different categories of the income_cat column4Question 9Find the correlation matrix for the columns mentioned below and visualize the same using heatmap3Question 10Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy10Foundations for Data ScienceCriteria PointsQuestion 1Find the summary statistics for numerical columns and observations. (use describe function)4Question 2 observations on the acceptance rate for each campaign4Question 3 observations on acceptance rate for each campaign according to the income level7Question 4Write the code and your observations on average amount spent on different products across all campaigns7Question 5Write the code and your observations on average number of purchases from different channels across all campaigns7Question 6Write the code and your observations on percentage acceptance for different categorical variables across all campaigns7Question 7Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables7Question 8 observations on percentage purchases from different channels for different categories of the income_cat column4Question 9Find the correlation matrix for the columns mentioned below and visualize the same using heatmap3Question 10Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy10Foundations for Data ScienceCriteria PointsQuestion 1Find the summary statistics for numerical columns and observations. (use describe function)4Question 2 observations on the acceptance rate for each campaign4Question 3 observations on acceptance rate for each campaign according to the income level7Question 4Write the code and your observations on average amount spent on different products across all campaigns7Question 5Write the code and your observations on average number of purchases from different channels across all campaigns7Question 6Write the code and your observations on percentage acceptance for different categorical variables across all campaigns7Question 7Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables7Question 8observations on percentage purchases from different channels for different categories of the income_cat column4Question 9Find the correlation matrix for the columns mentioned below and visualize the same using heatmap3Question 10Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy10everything is provided Computer Science Engineering & Technology Networking Share QuestionEmailCopy link Comments (0)


