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Machine Learning Approach to classify different types of dry beans. Data Cleaning , Encoding, Feature Scaling ,Data visualization, Predictive Modelling applied.

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Dry Coffee Beans Classification using Machine Learning

Techniques Used:

  • Data Cleaning
  • Label Encoding
  • Data Visualization
  • Pre-Processing
  • Machine Learning Modeling

Techniques Used:

  • Support Vector Classifier
  • K Neighbors Classifier

Model Evaluation Method:

  • Confusion Matrix
  • Accuracy Score
  • Error Rate

Packages and Tools Required:

  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit Learn
  • Jupyter Notebook

Packages Installation:

  • pip install numpy
  • pip install pandas
  • pip install seaborn
  • pip install scikit-learn
  • pip install matplotlib

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Machine Learning Approach to classify different types of dry beans. Data Cleaning , Encoding, Feature Scaling ,Data visualization, Predictive Modelling applied.

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