binary-classification

Binary and Categorical Focal loss implementation in Keras.

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.

Code for Java Deep Learning Cookbook

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Package provides javascript implementation of linear regression and logistic regression

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Online machine learning algorithms (based on OLL C++ library)

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets

2018-JData-联通-基于移动网络通讯行为的风险用户识别：Baseline 0.77

Practical ML and NLP with examples.

Binary Image Classification in TensorFlow

Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

A set of deep learning models for FRB/RFI binary classification.

2018-ICC-精品旅行服务成单预测：优胜奖

Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.

Machine learning enabled dropper

An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

American Express and Analytics Vidhya presents “AmExpert”. An amazing opportunity to showcase your analytical abilities and talent.

This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.