Compilation of activities and projects given to members of the Computer Vision Group
Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook
This project focuses on classifying Iris flowers into different species using machine learning techniques. The classification model is built using Jupyter Notebook and deployed using Streamlit.
This Repository is all about the popular Artificial Intelligence Lab concepts and their variations. Which can be helpful to Machine learning. I have try Artificial Intelligence Lab all problems solutions using prolog, python Programming Language and Jupyter Notebook program.
In this notebook we'll see how to use KNN to classify the IRIS Flowers.
In this notebook, i show a examples to implement imputation methods for handling missing values.
A raw implementation of K Nearest Neighbours (KNN) in Python.
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