Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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Updated
Jul 16, 2024 - Python
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
An introductory lesson to python taught by me (@iBz-04)
Customer product reviews + ratings analysis and visualization [Python, Excel, Tableau, R]
Learn Python on PythonExtra
GitHub Action that runs flake8 code checks on Python code within Jupyter Notebooks
CS 180 A.Y. 2023-2024 2nd Semester | Machine Project (Maximo, Mendoza, Murillo)
Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.
Estudos de Estatística, Probabilidade, Séries Temporais e Machine Learning
This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia
Explorando o mundo dos RPGs enquanto ensinamos Python! Este repositório contém materiais e recursos para o curso 'Python Quest'. 🐍⚔️
Python Jupyter Notebooks : Manually Codes Algorithms (Mathematical formulas, linear algebra, probability, inferential statistics...)
In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.
A selection of python scripts regarding face morphing generation and detection
Machine learning homework exploring image analysis and PCA dimensionality reduction.
This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.
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The repository is intended to use NLP to identify the correspondence of older and new federal government structures.
Transformations and preprocessing of data to run Azure AutoML on evaluating machine learning models to predict whether a bidding item registered in purchases from ComprasGov systems will not have interested suppliers.
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