classification-algorithms

A Streamlit application to play with machine learning models directly from the browser

A machine learning interface for isolated sequence classification algorithms in Python.

Cyber-attack classification in the network traffic database using NSL-KDD dataset

Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.

Machine learning library for classification tasks

As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms

A detailed look from seven different classification algorithms.

Machine learning library for classification tasks

8 Classification Algorithms in Machine Learning with Python using the Early stage diabetes risk prediction dataset

Streamlit application to classify cancer as malignant or benign.

An exercise repository for classification with iris dataset

Let’s practice and become familiar with classification algorithms.

We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.

Build and evaluate classification model using PySpark 3.0.1 library.

Predicting success of Bank Telemarketing Calls: Implementing and Comparing various ML classification algorithms

实现对信贷数据的数据预处理，数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.

Built a classifier to predict whether a loan case will be paid off or not. Used classification algorithms (k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression). Each result is reported with the accuracy of each classifier (Jaccard index, F1-score, LogLoass)

Task : Build a classification model which will be able to distinguish between spam/not spam.

Data Science notebooks and report

Performance evaluation of different classification and dimensionality reduction strategies, and applications in the classification of the crop type of a set of pixels in a multiband spectral image.

Another repository for trying out machine learning algorithms for classification

This repository includes python code to check various Machine learning classification algorithms like KNN, Decision Tree, SVM and Logistic regression. It compares accuracy of different classification algorithms with jaccard_score, F1_score and log_loss.

Use of classification supervised learning algorithms as a tool to perform predictive analysis over whether a mammogram mass is benign or malignant

Nursery Admission Prediction uses Machine Learning classification algorithms to categorize whether the candidate is priority, recommended or not recommended to be admitted.

Kickstarter Campaign Success Prediction with ML Classification Algorithms

The goal of this project is to create a reliable service for banks and other credit card issuance companies that helps to detect clients who will default on the credit repayments given some highlighted features of the client.

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami. Data Description

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

Predicting Mountain Goats Album Era with Sentiment Analysis

Detection and Recognition of faces using ML Classification Algorithms, Neural Networks, Siamese Network and face-recognition library at Python