While a Shapceship is on a Voayage transporting passengers from Earth to an ExoPlanet a spacetime anamoly interupts the journey & many passengers disappears. And the ship lost data of passengers during We are asked to use the data of successfully transported passengers & analyze thier journey condition and predict existence of other passengers with their limited avaialable data.
- A binary classification problem statement.
- Performed Exploratory Data Analysis.
- Feature transformation, Data Preprocessing
- Model Building (Ensemble techniques)
- Hyper-parameter Optimization, Cross validation
#please checkout my PPT on this project: Spaceship_lostpassng.project.PPT
- To predict loan defaulter risky applicant.
- Performed EDA used AutoEDA (Sweetviz library).
- Data Preprocessing & fitted model with relevant ML
Algorithms (Logistic Regression).
- Cleaningdata Handling Outliers
- Analyzing relation between each features(features) usin Correlation
- Visualizing realations susing Seaborn & Matplotlib module.
Files Downloadable: -Script (projects) -Dataset -ppt