https://github.com/takshak26/predict_blood_donations-
About The title of the project is “Predict Blood Donations”. It uses python as language, data science, and machine learning as the field of operation, TPOT library for model selection, logistic regression for model building, and jupyter notebook as the code editor.
https://github.com/takshak26/predict_blood_donations-
data-analysis data-visualization datascience machine-learning python3
Last synced: about 1 month ago
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About The title of the project is “Predict Blood Donations”. It uses python as language, data science, and machine learning as the field of operation, TPOT library for model selection, logistic regression for model building, and jupyter notebook as the code editor.
- Host: GitHub
- URL: https://github.com/takshak26/predict_blood_donations-
- Owner: Takshak26
- Created: 2025-09-21T12:03:33.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-21T12:38:02.000Z (9 months ago)
- Last Synced: 2025-09-21T14:22:47.287Z (9 months ago)
- Topics: data-analysis, data-visualization, datascience, machine-learning, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 1000 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
The Complete information and statistical analysis of the project can be obtained from the project report. Please have a look for more details.
# Blood-Donation-Prediction
The title of the project is “Predict Blood Donations”.
It uses python as language, data science, and machine learning as the field of operation, TPOT library for model selection, logistic regression for model building, and jupyter notebook as the code editor.
The project involves working on blood transfusion dataset.
It includes the following steps:-
> Loading the blood transfusion dataset
> Inspecting the dataframe
> Specifying features and target columns
> Splitting dataset into training and testing dataset
> Selecting model using TPOT
> Model Building
> Model Training
> Model Evaluation
For furthur details, kindly read the project report.
Thank You