2. Select columns Income and Spending into x U 1 # solution 3. Scale the data using Standard Scaler and output the resul

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899604
Joined: Mon Aug 02, 2021 8:13 am

2. Select columns Income and Spending into x U 1 # solution 3. Scale the data using Standard Scaler and output the resul

Post by answerhappygod »

2 Select Columns Income And Spending Into X U 1 Solution 3 Scale The Data Using Standard Scaler And Output The Resul 1
2 Select Columns Income And Spending Into X U 1 Solution 3 Scale The Data Using Standard Scaler And Output The Resul 1 (30.79 KiB) Viewed 43 times
Using Python please.
Answer #2-7
Use ANY customer.csv dataset.(I cant provide link due to answers
policy) and (I only need the solution so dataset does not
matter.
2. Select columns Income and Spending into x U 1 # solution 3. Scale the data using Standard Scaler and output the results to scaled_x U 1# solution 4. Run PCA on X and output the results in x_pca U 1 # solution 5. Run silhouette analysis and select the optimum n_clusters U 1 # solution 6. Run KMeans with optimum K and predict the output into cust_km_output U 1 # solution
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply