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advanced-lane-detection

Advanced Lane Detection with Sliding Windows Dive into computer vision with advanced lane detection using the sliding windows technique. This repository demonstrates how to identify and track lanes on road images or videos. Explore the intricacies of image processing and lane tracking algorithms to enhance your understanding of self-driving car te

american-sign-language

Explore image classification using American Sign Language (ASL) dataset. Build, train, and evaluate a neural network model to recognize ASL letters. Learn data preprocessing, model creation, and understand overfitting. Part of a comprehensive learning journey into deep learning techniques.

american-sign-language-augmentation-and-cnn

This repository contains code and resources for building a Convolutional Neural Network (CNN) that can recognize American Sign Language (ASL) images. The model is capable of classifying letters in ASL using high accuracy. The process involves data preprocessing, creating a CNN model, training, evaluation, and utilizing the trained model to recogniz

american-sign-language-cnn

"Repository containing code and resources for ASL (American Sign Language) image classification using Convolutional Neural Networks (CNNs). Learn data preprocessing, CNN architecture, training, and evaluation for accurate ASL letter recognition."

blaze

"Innovative, responsive, and efficient - Welcome to our GitHub repository! Here, we run passionately driven projects, focusing on creative solutions to technical challenges. Explore the code, documentation, and other valuable resources for deep insights into what we're working on. Let's collaborate and create together!"

cash-java

churn-prediction

Predict customer churn using ML. Analyze data, build models, and evaluate performance. Make informed business decisions.

clustering-model-for-product-ownership-determination

Customer Clustering : Identify product ownership patterns based on customer demographics using K-Means & K-Medoids clustering.

cohort-analysis-in-python

Perform cohort analysis on retail data to understand customer retention over time using Python. Visualize results in a heatmap.

data-science-region-dataset

"Data analysis of regional survey dataset, exploring demographics, interests, and visualizing insights."

final-project-engineering-68

finanku-credit-risk-prediction

Building a financial customer default risk prediction model using Machine Learning with financial data.

fraud-detection

"Retail transaction fraud detection project with machine learning models on the Data Mining Cup 2019 dataset."

freely-falling-object-calculation-using-yolov3

YOLOv3 for Freely Falling Object Calculation Explore the world of physics with YOLOv3 object detection. This repository showcases the utilization of YOLOv3 for tracking and calculating the motion of freely falling objects. Witness real-time object detection and learn about gravitational physics in action.

fruit-ripeness-cnn

This repository contains a deep learning project focused on classifying fresh and rotten fruits using transfer learning, data augmentation, and fine-tuning techniques. The project utilizes a VGG16 base model pretrained on ImageNet and aims to achieve a validation accuracy of 92% or higher on a dataset comprising various fruit categories.

headline-generator-natural-language-processing

In this project, we'll delve into sequence data, shifting from standalone data like images to dependent sequential data like text sentences. The focus will be on utilizing recurrent neural networks (RNNs) to predict subsequent words in a sentence. Through a simple model, we'll prepare and train it to perform this word prediction task. This project

image-processing-water

imdb_text_sentiment

Perform sentiment analysis on IMDB movie reviews using logistic regression, predicting positive or negative sentiments. Preprocess data, create BoW and TF-IDF features, build a logistic regression model, and evaluate its performance. Visualize common words in positive and negative reviews.

iris-flower-classification-perceptron

Welcome to this repository! Here, you'll find source code and tutorials for performing Iris flower classification using the Perceptron classification model. This repository guides you through the fundamental steps of building, training, and evaluating a machine learning model to classify Iris flowers based on their morphological features.

latihan_javascript

left-ventricel-segmentation

This repository offers an immersive introduction to image segmentation using the TensorFlow machine learning framework. Image segmentation is vital in various image analysis applications, going beyond object detection to segment images into distinct spatial regions of interest. Explore hands-on training and evaluating image segmentation networks

machine-learning-arduino

Machine Learning Prediction on Arduino with MicroML Explore the world of embedded machine learning with MicroML. Train and deploy lightweight models on Arduino for real-time predictions. This repository showcases various classifiers and models compatible with MicroML, enabling predictive capabilities on resource-constrained devices.

magang-soekamto-care

mango_clasification_using_svm

mnist_tensorflow

MNIST Digit Recognition with TensorFlow Implementation of digit recognition using TensorFlow and the MNIST dataset. Train a neural network model to classify handwritten digits (0-9) with high accuracy.

operasi

patient-mortality-prediction-using-lstm

## Patient Mortality Prediction Using LSTM 🏥🔍 Welcome to the Patient Mortality Prediction Using LSTM repository! This project combines medical insights with advanced deep learning techniques to forecast patient mortality based on pediatric intensive care unit (PICU) data.

perhitungan-simpresmawa-fmipa-unj-2023

phi-estimator-using-monte-carlo

## Monte Carlo Pi Estimation using Pygame This repository provides a Python script that demonstrates the estimation of the mathematical constant π (pi) using the Monte Carlo simulation method. The script uses the Pygame library to visualize the simulation process by plotting random points within a quarter circle and determining the ratio of points

playground