Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

Machine Learning Toolkit

To predict whether booked appointment will be completed or it will be no show.

Machine learning algorithm is used to detect whether the person will suffer from chronic kidney disease or not.

Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model

This project aims to predict the salary of employees based on various features using a decision tree classifier algorithm. By analyzing the provided dataset, the model can make accurate predictions if the salaries of new employees is above 100K or not.

Here are some fun projects to learn ML using Handson approach

Feature Engineering on Time Series Dataset (Flight Price Prediction)

Machine Learning Exercise: Exploring categorical plots, LabelEncoder, pipelines and GridSearchCV using Telco Customer Churn data from Kaggle

Exploratory Data Analysis Part-2

Data analysis, visualization and prediction to predict whether a patient has benign or malignant breast cancer based on properties of the cancer

CyberSoft Machine Learning 03 - Overview

[CIKM 2021] The source code of "Fully Hyperbolic Graph Convolution Network for Recommendation"

Prepare a classification model using Naive Bayes for salary data

This repository contains introductory notebooks for support vector machine

Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.

Unofficial but extremely useful Label and One Hot encoders.

Repositório com pratica de ETL

Assignment: ICC WorldCup 2015 PlayCricket - Decision Tree