I added the Gradient Boosting Classifier Machine Learning Algorithm.
Description
I applied Gradient Boosting Classifier Machine Learning Algorithm on pima-indians-diabetes dataset which basically includes 1-8 columns as input and last column as target. A total of 768 cases are available in the dataset. The dataset was divided into Training and Testing using 70-30 ratio. I also added the pima-indians-diabetes dataset in .csv format. I also added the data visualization for the same.
Issue Related
-> Added my name in contributors.md
-> Added a new Machine Learning Algorithm "Gradient Boosting Classifier" as discussed in issues.
Motivation and Context
Introduced new Machine Learning Algorithm to this project "Gradient Boosting Classifier" with better accuracy and better predictions.
How was this tested?
I executed my code on IDLE(Python 3.6 64-bit). The dataset has 768 cases in which data was split into Training and Testing using 70-30 ratio and the model was trained on Training dataset and predictions were made on Testing dataset.
Types of Changes
[ ] Bug fix (change that fixes a issue and does not change any existing features)
[X] New feature (change that adds a feature and does not change any existing features)
[ ] Disruptive change (Breaking change) (Correction or functionality that causes changes in existing functionality)
Check list:
[ ] My code follows the code style of this project.
[X] My commits follow the style pattern of this project.
[ ] My change requires a change in documentation.
[ ] We updated the documentation accordingly.
[X] I have read the Contribution document (CONTRIBUTING).
Summary
I added the Gradient Boosting Classifier Machine Learning Algorithm.
Description
I applied Gradient Boosting Classifier Machine Learning Algorithm on pima-indians-diabetes dataset which basically includes 1-8 columns as input and last column as target. A total of 768 cases are available in the dataset. The dataset was divided into Training and Testing using 70-30 ratio. I also added the pima-indians-diabetes dataset in .csv format. I also added the data visualization for the same.
Issue Related
-> Added my name in contributors.md -> Added a new Machine Learning Algorithm "Gradient Boosting Classifier" as discussed in issues.
Motivation and Context
Introduced new Machine Learning Algorithm to this project "Gradient Boosting Classifier" with better accuracy and better predictions.
How was this tested?
I executed my code on IDLE(Python 3.6 64-bit). The dataset has 768 cases in which data was split into Training and Testing using 70-30 ratio and the model was trained on Training dataset and predictions were made on Testing dataset.
Types of Changes
Check list: