Breast Cancer prediction using Ml models and Deep learning models like cnn and ann

Basically the data set is the breast Cancer data set. -breast-cancer-wisconsin (1).data Development of a model to identify the breast cancer with high degree of precision. Need end to end project with UI interface to show the below steps . reference method [login to view URL] Result - need to compare ML models with CNN and ANN . and see if Deep learning model are better than ML models . The work-flow will follow these steps: 1. Import Data 2. Analyze data structure and statistics a. Clean Data (handle with outliers and missing values)→ EDA 3. Create Visualizations to better understand data 4. Create new features / Feature selection - Identify the best features or combination of features 5. Test dimension reduction using PCA 6. Test, measure and tune different methods • Test classifiers (e. g. XGBoot, Decision Trees, Support Vector Machine, Logistic Regression, Bayes, Also try CNN based approach, ensemble ..etc) • Test results and select some of the bests algorisms • Tune algorithms parameters 7. Deploy the model based on the optimal accuracy and other parameters . 8. Analyze results and make conclusion ML Workflow: 1. EDA and feature selection (Data preprocessing, Data Munging/ Wrangling) 2. Data Modeling - Testing with multiple models and finalizing the right model 3. Validation, Testing and optimization 4. Deployment and presentation Techniques: Classical Machine Learning, Deep Learning