Build a Breast Cancer Prediction Model - Certification

Full Name:

Email:

Phone Number:

How did you complete your training on the above topic?

Attended the live bootcamp

Self-learning using the kandi kit

College bootcamp

Did not complete any training

Answer the following questions to receive your Participation Certificate

Support Vector Machine can be used for what types of use cases? 

Regression

Classification

Both Regression and Classification

None of the above

The toy dataset discussed in the Breast Cancer Prediction Model was using _____________.

Linear Regression

Binary Classification

Multi-class Classification

None of the above

Support vector machines are ______ .

Classification Learning

Unsupervised Machine Learning

Supervised Machine Learning

Reinforcement Learning

Naive Bayes classifiers are a collection of classification algorithms based on____ .

Naive Theorem

Bayes Theorem

Both A and B

none of these

____is used to learn a linear classifier to classify a non-linear dataset. 

class variable

dependent features

kernel trick

none of these

OPTIONAL ACHIEVEMENT CERTIFICATE - Upgrade your Participation Certificate to an Achievement Certificate by answering the below optional practical question

In this training, we discussed how Breast Cancer Prediction Model is built using SVM and we discussed how you can modify different parameters to tune the model for better performance. Download and run the Breast Cancer Prediction model kit and share with us a screenshot/photo/video of the changes you implemented to enhance the accuracy of this kit.