Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
This unsupervised genetic algorithm i have created will try to mimic the target image (New random image will be generated at each time)
Ethics & Algorithms Toolkit
"Welcome to our posture detection and pose classification web application repository! Utilizing Python, Flask, and libraries like Mediapipe, we empower users to monitor and classify human poses in real-time through webcam interactions. Perfect for fitness monitoring and gesture-based interfaces."
Ika is an application to make classification of mail thank to labels built by a clustering model of machine learning.
IA Image Recognizer est une application web statique qui grâce à l'API Trenserflow et à une IA crée effectue une reconnaissance faciale pour déterminer quel animal se cache derrière une photo uploadée par l'utilisateur.
A tool designed to improve farming efficiency & enable higher crop yields by use of big data sets, user location along with machine learning algorithms & predictive analysis models to provide user (farmer) with daily guidance on all activities from pre-planting to post-harvesting.
Crop Recommendation is a web application that suggest/recommend the farmer to which crop to grown his/her field.
En este documento se realiza un informe dinámico del ejemplo de k-NN para el diagnóstico de cáncer de mama mostrado en el libro "Machine Learning With R" (Lantz, 2015). Para más información ir a [dataspelunking GitHub](https://github.com/dataspelunking?tab=repositories).
Website pages for Model Deployment of ICH Detection using DL
Breast Cancer Diagnosis using machine learning algorithms | Deep Learning | Logistic Regression | API | Frontend | Backend |
Notas de clase sobre métodos numéricos y probabilidades
tkinter, machinelearning, kaggle
Breast Cancer Classifier using Logistic Regression
This Data Science project leverages Linear Regression to predict rental house prices in Bangalore, creating a valuable tool for understanding of data analysis, outlier detection, and predictive modeling. Combining Data Science techniques with web development to create a user-friendly resource and demonstrating a comprehensive approach.
Sistem Rekapitulasi Dan Monitoring Keluhan Pengguna Jasa Petikemas Menggunakan Metode Naive Bayes
"Prediction with Regression"
Portfolio to display att the Gtihub and freelance projects at one place