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Projects in Awesome Lists tagged with labelencoder

A curated list of projects in awesome lists tagged with labelencoder .

https://github.com/camilajaviera91/bagging-with-kaggle

Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).

accuracy-score bagging-classifier curses decision-tree-classifier kaggle labelencoder pandas python simpleimputer sklearn-library train-test-split

Last synced: 07 Sep 2025

https://github.com/sridharyadav07/code_alpha-_task-4

This project demonstrates the typical steps in a machine learning pipeline from data preprocessing and cleaning to training a model and evaluation its performance. The use of Random Forest is appropriate here given the complexity of the dataset, and with further tuning and improvements, this model could be used to make accurate predictions on heart

confusion-matrix jypyternotebook labelencoder matplotlib numpy pandas python random-forest-classifier scikit-learn

Last synced: 24 Feb 2025

https://github.com/jigyasag18/employee-salary-prediction-jigyasa

PayNexus is a machine learning-powered web app that predicts employee salaries based on role, education, and experience. Built using Python, Streamlit, and scikit-learn, it supports both single and batch predictions. The app includes advanced features like resume parsing via NLP and interactive visual analytics. Ideal for job seekers, HR profession

data dataset decision-tree-regressor gradient-boosting-classifier knearest-neighbor-classifier labelencoder lasso-regression linear-regression machine-learning machine-learning-algorithms machinelearning onehot-encoder pipeline random-forest random-forest-classifier ridge-regression standardscaler svr-regression-prediction xgboost xgboost-classifier

Last synced: 02 Nov 2025

https://github.com/baschin1103/principal_component_analysis

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance

Last synced: 28 Mar 2025

https://github.com/anushkapal28/maatri-care

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.

gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training

Last synced: 18 Sep 2025

https://github.com/baschin1103/knn-classification-sqlalchemy

Example-Script to load data from a database and classify by the K-Nearest Neighbor (KNN) Algorithm.

database knn-classification labelencoder machine-learning ordinal-classification pandas sql sqlalchemy

Last synced: 11 Aug 2025

https://github.com/sridharyadav07/code_alpha_task-1

This project involves developing a machine learning model to predict the creditworthiness of individuals based on their financial history and demographic information. The model uses a Random Forest Classifier to classify individuals into two categories: Default or No Default in the next month. The dataset used is the UCI Credit Card dataset.

accuracy confusion-matrix labelencoder matplotlib-pyplot numpy pandas random-forest-classifier roc-auc-score scikit-learn standardscaler

Last synced: 03 Apr 2025

https://github.com/elmezianech/food-delivery-time-prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression rmse standardisation xgboost-regression

Last synced: 06 Mar 2025

https://github.com/harmanveer-2546/prediction-of-ticket-cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model

Last synced: 28 Feb 2025

https://github.com/muhammadakmal137/pytorch_training_pipeline_using_dataset_and_dataloader_class.ipynb

Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.

ai-healthcare bcelosses binary-classification breast-cancer classification dataset deep-learning labelencoder machine-learing nn-module preprocessing pytorch sigmoid-function standardscaler

Last synced: 07 Oct 2025

https://github.com/ali-jalil88/mlflow-dl-ann

Gender Classification Using ANN with MLflow

adam dense labelencoder metrics mlflow optimizer standardscaler

Last synced: 24 Jun 2025