Atlantic: Automated Data Preprocessing Framework for Machine Learning

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

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.

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.

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

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

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

Diamond Price Prediction Using Machine Learning (Regression Use Case)

Here are some fun projects to learn ML using Handson approach

This repository contains introductory notebooks for support vector machine

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

Feature Engineering on Time Series Dataset (Flight Price Prediction)

CyberSoft Machine Learning 03 - Overview

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

This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.

Exploratory Data Analysis Part-2

Unofficial but extremely useful Label and One Hot encoders.

Prepare a classification model using Naive Bayes for salary data

Showcasing data science skills for a dataset provided by State Farm for a coding interview.