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End to End Data Science Projects: Exploratory Data Analysis - Data Preprocessing - Model Building - Hyper parameter Optimization

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Data Science Projects

Project1:

Spaceship Lost Passengers Prediction (Machine Learning)

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

Project2:

Loan Approval Prediction

  - To predict loan defaulter risky applicant. 
  - Performed EDA used AutoEDA (Sweetviz library).
 - Data Preprocessing & fitted model with relevant ML 
    Algorithms (Logistic Regression).

Project3:

Exploratory Data Analysis on MtCARS dataset

 - Cleaningdata Handling Outliers
 - Analyzing relation between each features(features) usin Correlation 
 - Visualizing realations susing Seaborn & Matplotlib module.

Files Downloadable: -Script (projects) -Dataset -ppt

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End to End Data Science Projects: Exploratory Data Analysis - Data Preprocessing - Model Building - Hyper parameter Optimization

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