This notebook uses historical data on animal outcomes in a shelter to create a classification model that will predict whether animals will be adopted or not
-
Updated
Apr 19, 2024 - Jupyter Notebook
This notebook uses historical data on animal outcomes in a shelter to create a classification model that will predict whether animals will be adopted or not
Este repositorio contiene un análisis comparativo de tres modelos de clasificación implementados en Python utilizando Jupyter Notebooks. Los modelos evaluados son: Árbol de Decisión, Regresión Logística y Bosque Aleatorio.
These notebooks guide cover the entire process, of building, training, and evaluating classification models effectively and includes advanced model fine tuning techniques.
FULL Implementation of RCNN from scratch
This shows the machine learning pipeline for Classification and Clustering using Pycaret 3.0 on jupyter notebook
A CNN image classification model
A collection of Data Science projects using Jupyter Notebook
Food Image Classification using Python Keras and trained on Google Collab notebook
This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
This repository contains some interesting notebooks on data science , machine learning and deep learning done and implemented in google collab
Practices Machine Learning and Notebook to train models for my app
A quick image classifier trained with manually selected One Piece images.
This repo has a notebook that I worked on for making a fraud detection model. The dataset was Highly imbalanced, so i used random undersampling to balance the data.
Notebooks to classify the Palmer's penguin dataset using PyMC3
Final notebook submission for Kaggle Titanic competition
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
This notebook contains all of my work for Codeup's classification module.
Jupyter notebook for practicing utilities of scikit-learn for machine learning
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
Add a description, image, and links to the classification-model topic page so that developers can more easily learn about it.
To associate your repository with the classification-model topic, visit your repo's landing page and select "manage topics."