• Brain Tumor Dataset

• Jupyter Notebook

• Accuracy: 81%

  
  
  

• Heart Disease Dataset

• Jupyter Notebook

• Accuracy: 99%

  
  
  

• Breast Cancer Dataset

• Jupyter Notebook

• Accuracy: 94%

  
  
  

• Hepatitis Dataset

• Jupyter Notebook

• Accuracy: 98%

  
  
  

• Skin Cancer Dataset

• Jupyter Notebook

• Accuracy: 86%

  
  
  

• Diabetes Dataset

• Jupyter Notebook

• Accuracy: 82%

  
  
  

• Ocular Dataset

• Jupyter Notebook

• Accuracy: 94%

  
  
  

• Liver Disease Dataset

• Jupyter Notebook

• Accuracy: 79%

  
  
  

• Stroke Disease Dataset

• Jupyter Notebook

• Accuracy: 99%

  
  
  

• Lung cancer Dataset

• Jupyter Notebook

• Accuracy: 86%

  
  
  

• Kidney Disease Dataset

• Jupyter Notebook

• 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

This repository was created by:

• Fraidoon Omarzai