Supervised ML Example Projects

Project 1: ML Classification Techniques

• These projects are not part of the IBM data science professional course even though there are in the same repository.

  • House Price Prediction
  • Loan Status Prediction

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Data Science Capstone Project

Data Collection API for SpaceX

• Collecting data via spaceX api, cleaning and prepare for further use.

  • Data_Collection_API.ipynb

Data Wrangling

• Iterative function to classify outcome class into binary outcomes of 1 or zero for successful and unsuccessful landing respectively.
  • Data_Wrangling.ipynb

Plotly Dashboard

• Interactive dashboard with spacex data helps give a pictoral view if landing of falcon 9 booster was successful or not and help understand correlation between payload and mission outcome. various visual plots.
  • Plotly App.py
  • Heroku App.py

SQL Magic EDA

• Querring IBM db2 instances in Cloud with SQL-magic.
  • SQL_Magic_EDA.ipynb

EDA with data visualization

• Data visualization and preprocessing, dummy encoders for categorical variables
• Preparing data set for modelling and further exploration.
  • EDA_Data_Visuals.ipynb

Machine Learning Predictions

• ML algorithms trains on the Training set.
• Optimal algorithm for the falcon 9 being the Decision tree classifier with higher accuracy score.
  • ML_Predictions.ipynb

    Algorithm	Accuracy Score	Test Data Score
    DT	0.875000	0.833333
    KNN	0.848214	0.833333
    SVM	0.848214	0.833333
    LR	0.846429	0.833333

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