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Mar 3, 2018 - Java
machine-learning-algorithm
Here are 48 public repositories matching this topic...
Classification of grape varieties in Python using Multinomial Logistic Regression, Decision Trees and Random Forests
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May 19, 2021 - Jupyter Notebook
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Mar 4, 2020 - Jupyter Notebook
The main repository for the project "Analysis of the load structure of the consumer".
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Oct 6, 2020 - C++
Application of machine learning in Python | Coursera
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Nov 17, 2020 - Jupyter Notebook
Implementation of a machine learning algorithm(AGB) based on the research paper.
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Dec 31, 2019 - Python
Files for Feature Engg, Feature Scaling, Feature Selection, Statistics and Implementation of every Machine Learning Algorithm.
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Nov 29, 2021 - Jupyter Notebook
This repository contains model files that can be used to predict stock and insurance churns using machine learning algorithms.
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Aug 28, 2020 - Jupyter Notebook
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Oct 24, 2023 - Jupyter Notebook
census_data_model using machine learning algorithm as well as deep learning algorithm
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Sep 7, 2019 - Jupyter Notebook
Python Machine Learning algorithms and experiments. At the moment there is an implementation of k nearest neighbours on features projection algorithm (k-NNFP), and Voting Feature Intervals algorithm.
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Nov 13, 2023 - Jupyter Notebook
Code playground for commonly used machine learning models and algorithms
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Feb 13, 2024 - Jupyter Notebook
Welcome to my machine learning journey repository! 🚀 Here, I document my learning ML experiences, projects, and insights as I progress through my B.Sc. CSIT program at Tribhuvan University, Nepal. Explore various machine learning algorithms and models, including supervised, unsupervised, and reinforcement learning.
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Aug 22, 2024 - Python
Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task.
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Dec 28, 2019 - Jupyter Notebook
Final project progress will be posted here.
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May 7, 2020 - HTML
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;
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Oct 24, 2023 - Jupyter Notebook
The hyperparameters of XGBoost was found using the DE algorithm. The fraud detection challenge was used for this project. The model accuracy on test data was found 89%.
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Sep 6, 2020 - Jupyter Notebook
Comparison of the logistic regression, decision tree, and random forest models to predict red wine quality in R.
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Feb 25, 2021 - R
A simple Machine Learning algorithm that calculates the price of houses based on weighted attributes and a large training dataset.
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Jul 20, 2020 - C
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