Predicting Mountain Goats Album Era with Sentiment Analysis

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

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

A detailed look from seven different classification algorithms.

Data Science notebooks and report

Content maturity rating method for artistic social communities

This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.

Machine Learning Model to classify if emails are spam or non-spam, and identify the specific words which contribute more in classifying an email.

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

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

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.

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

A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.

A Python GUI project to compute the results of Data Mining Classification Algorithms: Naive Bayes & ID3 Decision Tree.

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

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.

LENS: Learning ENSembles using Reinforcement Learning 2017 (v1.0)

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.

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

Streamlit application to classify cancer as malignant or benign.