This repository contains all the assignments and related files for excelR data science and machine learning course.
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Updated
Jun 6, 2024 - Jupyter Notebook
This repository contains all the assignments and related files for excelR data science and machine learning course.
Python library for Odin's API to build and manage Broadworks installations.
Hotel Data Analysis
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Github Action Workflow executing a python script daily
[Ongoing Project] Python Data Analytics
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Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
[Seaborn Data Visualization Basics] This repository collects 1 of programming scenarios (labs and challenges) for Seaborn Data Visualization Basics. It offers comprehensive courses and hands-on labs tailored for learners of all levels, from students to professionals and enthusiasts.
[Quick Start with OpenCV] This repository collects 14 of programming scenarios (labs and challenges) for Quick Start with OpenCV. It offers comprehensive courses and hands-on labs tailored for learners of all levels, from students to professionals and enthusiasts.
[Quick Start with Matplotlib] This repository collects 6 of programming scenarios (labs and challenges) for Quick Start with Matplotlib. It offers comprehensive courses and hands-on labs tailored for learners of all levels, from students to professionals and enthusiasts.
My repository for Data Science & Machine Learning projects.
Henry Data Science PT 07 Grupo 02, proyecto Data Science de Google Yelp
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.
Image classification convolutional neural network, using TensorFlow with an NVIDIA GPU
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