22 Aug :: Week 1 Live Bootcamp


In week 1 of the internship, our focus will be on how Artificial Intelligence is playing a pivotal role in revolutionizing contemporary medical science, aiding in the treatment of critical illnesses. Through the Week 1 Live Bootcamp and Coding Project, we will learn how to apply Machine Learning techniques for Predictive Analysis (Building a Breast Cancer Prediction Engine) using data analysis and ML libraries such as Pandas and Scikit-learn.


After completing this course you will:

  • Have a good working knowledge of the Fundamentals of Predictive Analysis.
  • Learn various concepts involved in building the Breast Cancer Prediction Engine such as Exploratory Data Analysis, and Support Vector Classification.
  • Have a fully functional model that you can customize as per your own dataset and fine tune the model to enhance its performance.


Unlock the power of AI by integrating it into breast cancer screening, radiologists can achieve more precise cancer detection while significantly alleviating their workload. This technology enables early-stage detection of breast cancer and facilitates the identification of whether a tumor is malignant or benign.

Watch this Live Bootcamp (recording available below after live session) on building your own Breast Cancer Prediction Engine & learn how to train the model, do Exploratory Data Analysis, and Vector Classification.

NOTE :: You must sign in/sign up (top right corner of this page) to record your attendance while watching this live or recorded bootcamp. Just sign in and then watch - it’s as easy as that!


Click the below button to access the breast cancer detector kandi kit. This kit has all the required dependencies and resources you need to build your application.

Click on the 1-Click Installer button on the kandi kit page to install the breast cancer detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

kandi 1-Click Kit - Dark

Below are two sample coding exercises that will help you advance in your journey in Predictive Analysis. To get started, use the relevant keywords to search for simple code snippets in the search bar on kandi .

Sample Exercise 1 - Train test split python : Train test split is a model validation procedure that allows you to simulate how a model would perform on new/unseen data. Empirical studies show that the best results are obtained if we use 20-30% of the data for testing, and the remaining 70-80% of the data for training.

Sample Exercise 2 - ConfusionMatrixDisplay : A Confusion Matrix is an N X N matrix that is used to evaluate the performance of a classification model, where N is the number of target classes. It compares the actual target values against the ones predicted by the ML model.


Complete and submit this interesting Coding Project and receive your AI Engineering Enthusiast Badge!

It is mandatory for you to complete your weekly Coding Project in order to receive your final Internship Completion Certificate.

NOTE :: For questions 6-10, please ensure you upload screenshots of your code and outcome in PNG format ONLY. We will not be able to consider answers provided in text or any other format. You will receive your Badge #3 if you meet the minimum requirement of 60% correct answers. If not, you will receive an email from us requesting you to retake the Coding Project.

Coding Project - Week 1

Showcase your progress & win exciting prizes!

  1. Share your badge on social media. You can save the image and share.
  2. Add a short note on why you are excited to learn new digital skills.
  3. Ensure you tag #Ready2GoDigital @ICTAcademy @OpenWeaver.

Win goodies every week! Share badges every week and stand to win Airpods at the end of the internship!


Reach out to us by replying below for any questions! You must be signed in with your registered email address to use the ‘reply’ feature.


1. Which of the following is/are the applications of Predictive Analytics?

  • Translating voice to text for mobile phone messaging
  • Investment portfolio development
  • Weather forecasts
  • All of the above
0 voters

2. Predictive Analytics uses statistics and _______ to determine future performance.

  • Algorithmic techniques
  • Modelling techniques
  • System development and Design techniques
  • None of the above
0 voters
1 Like

3. What algorithm was used to generate the model?

  • Decision Trees
  • Support Vector Machines
  • Support Vector Regression
  • All of the above
0 voters
1 Like

4. Did David Cournapeau initially develop Scikit-Learn as a Google Summer of Code project in 2007?

  • Yes
  • No
  • Can be Yes or No
  • Can not say
0 voters
1 Like

5. How many feature names were present in the Breast Cancer toy dataset?

  • 12
  • 14
  • 13
  • 15
0 voters

Kandi Kit and coding project link is not clickable

The link will get active only when the session is live.

When the session will be activated

The session starts at 5:00 PM IST, Today.


When is the project due?

Kindly check your calendar. Your Personalized Calendar!

Where is the personal Calendar

Kindly check your calendar. Your Personalized Calendar!

So the breast cancer detection is our week 1 project huh?

How to sign up for attendance

You will have the link to the coding project by the end of the session

1 Like

To mark your attendance, please watch the Live Bootcamp after you sign in.

Please reply for marking attendance in live bootcamp

Reply In YouTube or here?