Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
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Updated
May 5, 2022 - Jupyter Notebook
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Joint Deep Neural Networks for Simultaneous Object and Depth Detection
Resolución del desafío de la clase cuatro, última clase de la serie Inmersión de Datos de AluraLatam
This project aims to take an chest X-Ray image and detect if the patient has the COVID-19 infection. It uses a CNN to train on a large dataset of both normal and COVID lung images to learn how to process the difference in both images.
Gesture recognition library for Python
This is a machine learning minor project for predicting heart stroke using the classification technique. The ML model correctly predicts a heart stroke with 95% accuracy.
This repository contains an email spam detection system built using logistic regression, achieving an accuracy of 98%. The model was trained on a comprehensive dataset of labeled emails to effectively classify spam and non-spam messages.
Compressive Strength of Concrete determines the quality of Concrete. analyze the Concrete Compressive Strength dataset and build a Machine Learning model to predict the quality.
Text Classification using Machine Learning
ML_binary classification application, docker image created by circleci_deployed to Heroku container
Here is my Bachelor's Degree Thesis, Music and Feelings: A Deep Learning Approach to Emotional Composition
I'm a self-taught AI and Machine Learning developer, passionate about AI, Machine Learning, Computer Vision and learning new things. I have good experience working with the Python programming language and its libraries, and I am interested in computer vision and image processing using machine learning and deep learning algorithms.
numpy resources
Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit
Developed a cutting-edge deep learning model to accurately analyze knee osteoarthritis from X-ray images. Leveraged convolutional neural networks (CNN) to enhance diagnostic precision, aiding in early detection and effective treatment planning. This project showcases my expertise in medical image analysis and advanced neural network architectures.
This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖
Build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.
This repo contains different models and technique used to classify image in MNIST, CIFSR-10, IRIS Datasets.
MIST Machine Leaning in Cybersecurity Workshop Code Dump Repository
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