svm-model
Here are 349 public repositories matching this topic...
Recognize Pokemon's image using scikit-learn in Python
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Mar 27, 2019 - Python
SVM implementation from scratch using numpy
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Jul 31, 2020 - Jupyter Notebook
Diabetes Prediction Model using Support Vector Machine in Python
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Jun 4, 2022 - Jupyter Notebook
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Jan 12, 2023
Employee Attrition prediction
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Oct 24, 2022 - Jupyter Notebook
For my CIS3920 Data Mining Project, I discovered my hypothesis on whether or not there is a correlation between anti-lgbtq hatecrimes and anti-lgbtq legislation. I used regression, support vector machines, and random forest.
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Nov 29, 2023 - Jupyter Notebook
Rusty Bargain, a used cars commerce company, is creating an app to attract buyers, let users check vehicle market prices. I'm using historical data on specifications, versions, and pricing to design a model that assesses car values accurately. Focus areas include prediction precision, model efficiency, and training time.
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Aug 7, 2023 - Jupyter Notebook
SVM model predicting if passengers would survive the Titanic's maiden voyage
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May 17, 2019 - R
Preprocessing data and make model SVM
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Apr 20, 2021 - Jupyter Notebook
In this repositry, you will find code to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques comp…
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Oct 28, 2021 - Jupyter Notebook
Análise de Predições de Subscrições de Serviço. A base marketing foi utilizada para previsão de subscrições do serviço com modelos de classificação. No trabalho como um todo foram utilizados os modelos de Regressão Logística, Árvore de Decisão, SVM e Redes Neurais. Observação: Baixe o arquivo HTML para ver o trabalho completo em formato de relat…
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Jul 10, 2021 - HTML
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Sep 13, 2023 - Jupyter Notebook
Comparing Machine Learning Algorithms for Credit Risk Analysis in Banking
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Jul 11, 2023 - R
Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%
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Jul 24, 2023 - Python
Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.
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Nov 9, 2023 - Jupyter Notebook
Undergraduate Thesis - Decision Support System
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May 7, 2024 - CSS
Shiny app que emplea SVM sobre datos de entrenamiento
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Apr 30, 2017 - R
Contains assignments I did in ML course
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Nov 11, 2017 - Python
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