Classification of grape varieties in Python using Multinomial Logistic Regression, Decision Trees and Random Forests
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Updated
May 19, 2021 - Jupyter Notebook
Classification of grape varieties in Python using Multinomial Logistic Regression, Decision Trees and Random Forests
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
Final project progress will be posted here.
Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;
The main repository for the project "Analysis of the load structure of the consumer".
Application of machine learning in Python | Coursera
This repository contains model files that can be used to predict stock and insurance churns using machine learning algorithms.
Implementation of a machine learning algorithm(AGB) based on the research paper.
A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices
Artificial Intelligence, Computer Network, Machine Learning, Python, DAA, Distributed System, Internet of Things (IoT), Data Science and Analysis.
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)
Files for Feature Engg, Feature Scaling, Feature Selection, Statistics and Implementation of every Machine Learning Algorithm.
A simple Machine Learning algorithm that calculates the price of houses based on weighted attributes and a large training dataset.
A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices
Classification based machine learning algorithm to classify the strength of passwords within predefined categories.
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