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This project describes basic classification technique used by various ML algorithms. Algorithms are compared based on iris dataset

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abhishekBhartiProjects/MLProjects

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MLProjects

  • This package contains various mini-projects (mainly for learning or beginner level projects).

classification.py

  • A simple prediction based machine learning technique. This Uses sklearn to classify input data.

iris_dataset.py

  • Uses online available iris-dataset and extracts different useful datas in form of graphs. It also created a custom model to train algo with 80% of data and validate with remaining 20% data. Then accuracy of training is compared betwwen different available known algorithms.

  • Top 30 dataset and few descriptions of dataset alt text

  • Plots of dataset alt text

  • Algorithms comparison (In this case: LDA is giving most accurate result) alt text

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This project describes basic classification technique used by various ML algorithms. Algorithms are compared based on iris dataset

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