/Digits_Classification

Classification of Digits dataset using various algorithms and methods.

Primary LanguageJupyter NotebookMIT LicenseMIT

made-with-python

Digits_Classification

Overview

Digits dataset classification is done using Supervised Algorithms. Hyper parameter tuning is also done to find best algorithm with best parameters.

Supervised Algorithms Used

  • SVC
  • KFold Cross Validation
  • Random Forest Classifier
  • Logistic Regression
  • Decision Tree Classifier
  • Naive Bayes

Hyper Parameter Tuning

  • GridSearchCV

Prerequisites

  • Python 3
  • an IDE (preferably Jupyter Notebook)
  • Pandas
  • Numpy
  • Matplotlib
  • Sklearn
  • Seaborn

All the external dependencies can be installed by using pip install -r requirements.txt

Author

  • Rishikesh Sivakumar

ForTheBadge built-with-love by Rishikesh Sivakumar