In this repo are the machine learning models that I'm working on it.
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Updated
Dec 3, 2022 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
In this repo are the machine learning models that I'm working on it.
Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.
Bangkit 2023 Capstone Project: Machine Learning Model
Predicting diseases based on symptoms using different machine learning algorithms
Machine learning models to predict if a given traffic accident will end up in casualties
An exercise to learn machine learning algorithms with python
Different type of Machine Learning works are added.
A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
Leveraging the power of machine learning and AI techniques, this project provides a robust solution for identifying factors contributing to employee turnover.
Machine learning models for discrimination of psychrophilic proteins
This is the machine learning I have done in The University of British Columbia
Following questions in "An Introduction To Statistical Learning" for machine learning
Using patient data as a csv file, I have built machine learning models to predict heart disease. Predictions involve:
論文『Machine Learning Phases Of Matter』の理解を目標にしたコード.
machine learning examples in R
In this repository I have uploaded all my machine learning Assignments
Este repositorio almacena algunos algoritmos de Machine Learning con implementación usando librerías y sin librerías, mayormente usando Python. Se agregan algunos algoritmos adicionales, usando Python, Rust y otros lenguajes.
A house price prediction project is a data-driven approach to estimating the future value of a residential property using statistical and machine learning techniques with the goal of providing insight and forecasting capabilities.
Predicting energy prices using various machine learning techniques. Specifically, I have implemented and compared three different regression models.