🎓 🐍 📔 This repository is used as part of my "Emerging Technologies" module to store my solutions to the "Tensorflow" Problem sheet.

Basic perceptron on Iris dataset

Implementing all ML models and feature selection techniques that can be used.

JANNL - Just Another Neural Network Library

Learns using the input from the testing_data how to compute the output

A simple perceptron implementation for two databases(Iris and Artificial 1).

Fully Connected Forward Feed Neural Network

basic-ml-datasets-Some ml-datasets to practice different ml techniques.

Implementação do algoritmo KNN utilizando numpy para classificação no conhecido dataset iris.

Iris prediction flask application on pythonanywhere

Built and implemented the Decision Tree successfully with split on the basis of information gain from scratch

This is a classification of iris flower using k nearest neighbour classifier

A correlogram or correlation matrix allows to analyse the relationship between each pair of numeric variables of a dataset. The relationship between each pair of variable is visualised through a scatterplot, or a symbol that represents the correlation (bubble, line, number..). The diagonal often represents the distribution of each variable, usin…

Explore the Iris flower dataset using numerous machine learning methods and tools

Practice Random Forest through python with Iris dataset in Scikit-learn.

based on Andrew Ng course

This repository contains experiments on the Iris dataset using various scikit-learn classifiers. The goal of these experiments is to evaluate the performance of different classification algorithms on this widely-used dataset in order to compare their accuracy and identify the best approach for the given task.

Regression model on IRIS dataset