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Accuracy: 81%
-
Accuracy: 99%
-
Accuracy: 94%
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Accuracy: 98%
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Accuracy: 86%
-
Accuracy: 82%
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Accuracy: 94%
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Accuracy: 79%
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Accuracy: 99%
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Accuracy: 86%
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Accuracy: 97%
- Visual Studio, Atom, PyCharm, Jupyter Notebook
- Python
- Flask
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Sklearn
- ML Algorithms
- Xgboos
- Joblib
- Pickle
- Tensorflow
- Transfer Learning Algorithms
- cv2
- PIL
- os
pip install -r requirements.txt
- Import libraries
- Get the Dataset
- EDA
- Check The dataset rows and columns along with data types
- Check the null values
- Check whether balance or imbalance dataset
- Check the outliers
- Check the relationship of features
- Feature Engineering
- Handling missing values
- Handling imbalance dataset
- Handling outliers
- Feature Selection
- Train different Model and select the best one
- Test the model
- Save the model
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