FarzadNekouee / XGBoost-CatBoost-Employee-Resignation
The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. The objective is to help organizations take proactive steps to retain valuable employees and maintain stability.
☆13Updated last year
Alternatives and similar repositories for XGBoost-CatBoost-Employee-Resignation:
Users that are interested in XGBoost-CatBoost-Employee-Resignation are comparing it to the libraries listed below
- This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces th…☆12Updated last year
- Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on feat…☆11Updated last year
- Dive into polynomial regression and its assumptions in car price prediction. This repo explores Linear, Polynomial, Ridge, Lasso, and Ela…☆13Updated last year
- An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate …☆14Updated last year
- Classification project to pinpoint potential loan customers from an imbalanced dataset. Emphasizes on penalized and tree-based algorithms…☆12Updated last year
- This project presents a weather-proof model for accurate detection of dogs and cats, streamlined for desktop application. Utilizing renow…☆10Updated last year
- ☆9Updated last year
- Thompson sampling☆10Updated last year
- Here, you will get to know the projects related to the basic mathematical concepts of Python programming.☆8Updated last year
- ☆11Updated last year
- Data Science Tutorials with Python☆14Updated 2 years ago
- In this repository by using tensorflow, I build, train and evaluate LSTM models for predicting Google stock prices☆10Updated last year
- Here, you will get to know the projects related to the Data-Science concepts in Python programming.☆7Updated last year
- Use of categorical algorithms☆15Updated 2 years ago
- Using Python☆17Updated 2 years ago
- This project is related to customer segmentation for loans☆11Updated last year
- ☆13Updated 2 years ago
- An exploration of CIFAR-10 image classification using a CNN model built with Keras. This repository includes training, evaluation, and ex…☆16Updated last year
- Telegram IMDb Bot: Python-based bot for Telegram. Features include movie search via IMDb API, watchlist management, and movie details ret…☆23Updated last year
- ☆9Updated last year
- In this project, we harness ResNet50 for garbage classification. Using a dataset pivotal for automating waste segregation, we address cha…☆14Updated last year
- Unsupervised Machine Learning Analysis Using Clustering Model☆14Updated last year
- Solver for easy Sudoku☆17Updated 2 years ago
- ☆19Updated last year
- Predictive modeling of hotel booking cancellations. Handling complex data preprocessing, feature engineering, and noise. Evaluating model…☆13Updated last year
- ☆15Updated last year
- This project uses Linear Regression for car price prediction, implementing advanced techniques such as K-Fold cross-validation, feature s…☆8Updated last year
- Data Science☆10Updated last year
- In this repo, we analyze a dataset of heart patient metrics to build a model identifying heart disease risks. We prioritize high recall f…☆22Updated last year
- An urban traffic violation detection system using classical image processing techniques. Features include real-time traffic light recogni…☆25Updated last year