Description --
With the help of Data Science Techniques and Machine Learning Algorithm
developed a web based data science model to predict the detection of lung cancer in early stage based on
their symptoms and routines. To build a data science model we have to perform certain steps.
Steps --
- Load and read the dataset
- Data Preprocessing
- Data Visualization
- Feature Importance
- Feature Selection
- Model Selection
- Train and Test the different models
- Model Evaluation
- Confusion Matrix
- Predictive System
- Model Deployment
Technologies used --
Python
NumPy Library
Pandas Library
MatPlotlib Library
StreamLit Library
StreamLit Cloud
