/Breast-Cancer-Prediction

Exploratory Data Analysis on Simple Machine Learning Model on Breast Cancer Dataset.

Primary LanguageJupyter Notebook

Breast-Cancer-Prediction

❤ Building a Simple Machine Learning Model on Breast Cancer Data || Still working on the deployment phase. This project is a part of EDA (Exploratory Data Analysis) where the main characteristics are analysed followed by a visualization.

✔Tasks performed in this model :

  1. Import essential libraries
  2. Load breast cancer dataset and explore
    • Creating Dataframes
  3. Data Visualization
    • Pairplot
    • Counterplot
  4. Heatmap
    • heatmap of breast cancer data frame
    • heatmap of correlation matrix
  5. Correlation bar plot
  6. Data Processing
    • Split data frame in train and test
    • Feature Scaling
  7. Breast Cancer Deetction ML model
    • Support Vector Classifier
    • Logistic Regression
    • K-nearest neighbor Classifier
    • Naive Bayes Classifier
    • Decision tree Classifier
    • Random Forest Classifier
    • Adaboost Classifier
    • XGboost Classifier
      • XGboost Parameter tuning Randomized search
  8. Confusion matrix
  9. Classification report of model
  10. Cross Validation of model
  11. Saving the model

Reference ---

https://towardsdatascience.com/building-a-simple-machine-learning-model-on-breast-cancer-data-eca4b3b99fa3

https://www.sciencedirect.com/science/article/pii/S1877050918309323