GitHub topics: skilearn
Kev-1729/Employee_Attrition
Este proyecto aplica Machine Learning para predecir la rotación de empleados. Incluye análisis de datos, preprocesamiento, modelado y evaluación con Python y librerías como Pandas y Scikit-Learn.
Language: Jupyter Notebook - Size: 7.24 MB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SalmanDeveloperz/Student-Performance-Prediction-and-Grade-Classification
A Machine Learning Project that predicts student grade and performance from a Dataset. Copule of Libraries are used for data pre-processing, training model, heatmaps, trees and other Algorithms.
Language: Jupyter Notebook - Size: 5.12 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Kev-1729/Climate_Analysis_Peru
Este proyecto analiza el clima en Perú, explorando datos históricos para identificar patrones en temperatura, humedad y precipitaciones. Utiliza Python, Pandas, Matplotlib y técnicas de web scraping y Machine Learning.
Language: Python - Size: 9.77 KB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SunGj921028/depression-prediction
A depression prediction with the dataset on kaggle competition, using machine learning
Language: Jupyter Notebook - Size: 5.64 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Danielbgoncalves/YouTube-Scraping
Analisa playlists do youtube a partir de seu link
Language: JavaScript - Size: 80.1 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tsar123/AI-beer-sommelier
AI beer sommelier
Language: Python - Size: 664 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

DangCoop/Neural_Network_Charity_Analysis
Language: Jupyter Notebook - Size: 4.45 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

VGandhi27/Stock-market-analysis
Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how investment decisions are made on a broad scale.
Language: Jupyter Notebook - Size: 231 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

VGandhi27/Movie_Recommendation_System
The movies are recommended based on the content of the movie you entered or selected. The main parameters that are considered for the recommendations are the genre, director, and top 3 casts. The details of the movies, such as title, genre, runtime, rating, poster, casts, etc., are fetched from TMDB.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

Noxybot/tt_21
Language: Jupyter Notebook - Size: 88.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
