with Spyder please

Scenario A company developed a new mobile phone with new specifications and high performance. The company's management published a survey to find out are people excited to buy this new mobile phone. Your manager sent you the collected data and asked you to design a model that can predict the buyers of the new mobile phone. As a data analyst, you will do the following: 1. Download the attached dataset. 2. Use the following algorithms to make prediction models: a. Support vector machine (SVM). 3. Only select (Age) and (Estimated Salary) for independent variables. 4. Do the necessary work for data preprocessing. 5. When splitting the dataset into the Training set and Test Set, assign 75% for training set and 25% for test set. (random_state =0 ). 6. For SVM, determine the best kernel type (Linear, Gaussian, Polynomial) and (show screenshot of your code). 7. Write or show screenshot of the confusion matrix. 8. Visualize the support vector machine result of test set (show screenshot). 9. Write your opinion about the SVM and Logistic Regression models' performance in lab #4