Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
-
Updated
May 14, 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
This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia
Analysis of Skin Lesion Images to segment lesion regions and classify lesion type using adversarial deep learning.
Estudos de Estatística, Probabilidade, Séries Temporais e Machine Learning
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.
About Save content from Torrent to Google drive in seconds
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.
Detection of obfuscated Powershell commands
Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.
Simple spam filter using the bag of words model and the bayes theorem.
Add a description, image, and links to the python-notebook topic page so that developers can more easily learn about it.
To associate your repository with the python-notebook topic, visit your repo's landing page and select "manage topics."