SrikanthVelpuri / Classification-of-Fruits

Classification of 41 different Fruits using Machine Learning Techniques.

Classification-of-Fruits

This data is taken from kaggle.This data contains 41 different kinds of fruits and using machine learning techniques we chosse the best model for this classification

Importing all the libraries required for this data classification

Loading Images From the Folder.

Applying PCA to the data for dimensionality reduction.

Using t-SNE for dimentionality reduction.

Visualising data with scatter plots.

Using Random Forest classification technique(best) got an accuracy of 99.5 on test data.

For analysis please see the ipython notebook.