GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
binaryclassificationHere are 130 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
A New, Interactive Approach to Learning Data Science
python machine-learning random-forest regression datascience dimensionality-reduction feature-engineering data-preparation machine-learning-pipelines binaryclassification clusteranalysis hyperparameter-tuning- ensemble-learning-
This repository offers video-based tutorials on Deep Learning concepts along with practical implementations using Python, TensorFlow, and Keras. It is designed for students, educators, and self-learners who want to understand the theory and apply it through hands-on projects.
convolutional-neural-networks vectorization deep-network forward-propagation binaryclassification logistic-regression-gradient-descent gradient-descent-on-m-examples vectorizing-logistic-regression activiation
Nudity/pornography detection using deeplearning. This model is trained using pretrained VGG-16. To know more about this check the readme file below
keras image-processing artificial-intelligence image-classification vgg16 keras-tensorflow nudity-detection pornography porn-detection binaryclassification nudity-detector
ML-powered Loan-Marketer Customer Filtering Engine
A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning
random-forest logistic-regression hyperparameter-tuning knn-classification classification-model binaryclassification heartdieasesprediction
This nuget package is designed to help you easily identify and detect profanity or bad words within a given sentence or string. It works under a simple binary classifier that has been built and trained using ML.NET for accurate and efficient detection of inappropriate language.
Бинарная классификация пользователей образовательной платформы Stepic на тех, кто скорее всего пройдет курс до конца и тех, кто скорее всего покинет платформу. Модель способна давать предсказания по анализу поведения юзеров на сайте за первые 3 дня
Designing your first machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.
Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc
deep-neural-networks deep-learning cnn kaggle aws-ec2 malaria binaryclassification malaria-detection
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
machine-learning deep-neural-networks modeling cnn regularization keras-tensorflow inception-v3 transferlearning binaryclassification tensorflow2 agumentation dropout-layers
A Binary Classification application to predict if a car price is good deal or not based on a set of attributes using FastTree trainer based on the Multiple Additive Regression Trees (MART).
Loan Default Prediction Model: A machine learning project that leverages historical lending data to create predictive models for assessing loan default risk, aiding financial institutions in making informed lending decisions.
python machine-learning random-forest tensorflow numpy machine-learning-algorithms jupyter-notebook seaborn banking scipy artificial-neural-networks matplotlib lending datavisualization dataanalysis xgboost-algorithm datacleaning pandas-python binaryclassification modelcomparision
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
machine-learning modeling cnn regularization transfer-learning augmentation keras-tensorflow inception-v3 deepneuralnetworks binaryclassification dropout-layers
EDA, pre-processing, train & test models, select best-performing model based on accuracy, precision, recall, and F1-score
exploratory-data-analysis machine-learning-algorithms data-preprocessing predictive-modeling kaggle-dataset binaryclassification
Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.
python sklearn exploratory-data-analysis pandas pytorch sentinel-2 binaryclassification f1score wandb solafune
Classification of two varients of rice - Osmancik, and Cammeo using machine learning
Binary Classification of mnist data using Stochastic Gradient Descent(SGD)
Add this topic to your repoTo associate your repository with the binaryclassification topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |