Breast Cancer prediction using Ml models and Deep learning models like cnn and ann v2

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

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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

Skills: Flask, Deep Learning, Machine Learning (ML), Python

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About the Employer:
( 2 reviews ) Bangalore, India

Project ID: #31589359

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Hello this is Collins and am a Machine Learning expert who would like to assist you in your Breast Cancer prediction using the models. I will be able to compare ML models with CNN and ANN . and see if Deep learning mod More

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