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“Work will speak rather than words”

1.) Binary classification of lung cancer dataset using supervised machine learning algorithm

Predictor rank of each column sample
Predictor rank of each column sample

1.1) Description

It is important to know what is the minimum system requirement to run code (code is paid so it is not attached here). So AI Sangam has made the description file for running the code with ease.

            1.1.1) What Description File contains

a.) Topic Headline

b.) Hardware Requirement

c.) Language used

d.) What does document contains

Please find the attachment of the description file from description link.

2.) Multi-class classification for the heart dataset using decision tree classifier.

Demo of Project on Jupyter Notebook
Demo of Project on Jupyter Notebook

2.1) Description

Blog for this project has been published in the link Heart Disease prediction using DecisionTreeClassifier. Please go through this link. Code is paid so is not attached here but we believe in knowledge sharing also so description file for this code is also attached here entitled as description file.

  2.1.1) Description file contains the following points

            a.) Topic Headline

           b.) Hardware Requirement

          c.) Language used

          d.) What does this document contains

                  d.1) Difference between multiclass and multilabel classification

                  d.2) Download dataset

d.3) Flowchart

d.4) How to run this code

d.4.1)Running on Window

d.4.2) Running on Ubuntu

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