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random-forest-classifier

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Ahmad-Ali-Rafique / Adult-Income-Dataset

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This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

machine-learning exploratory-data-analysis evaluation eda classification accuracy logistic-regression evaluation-metrics decision-tree-classifier random-forest-classifier dataanalytics datavisualization-project
  • Updated May 24, 2024
  • Jupyter Notebook

Bugss05 / IACD_Predicting_Hepatocellular_Carcinoma_through_SML

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Predicting Hepatocellular Carcinoma through Supervised Machine Learning

machine-learning random-forest machine-learning-algorithms artificial-intelligence supervised-learning logistic-regression decision-trees decision-tree-classifier artificial-intelligence-algorithms knn-classification random-forest-classifier hepatocellular-carcinoma logistic-regression-classifier streamlit
  • Updated May 23, 2024
  • HTML

sayande01 / AIDS_INFECTION_PREDICTION_MACHINE_LEARNING

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This project uses machine learning to predict AIDS virus infection with 95% accuracy. By applying logistic regression and random forest algorithms, it involves data preprocessing, feature selection, model training, and evaluation. Comparing these models will identify the most effective method, aiding in early detection and treatment strategies.

logistic-regression random-forest-classifier
  • Updated May 22, 2024
  • Jupyter Notebook

LJadhav25 / Decision-Tree-Random-Forest-Algorithm-Data-Science-

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This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms

python data-science numpy machine-learning-algorithms pandas data-analysis matplotlib decision-trees random-forest-classifier
  • Updated May 21, 2024
  • Jupyter Notebook
AgriSens

ravikant-diwakar / AgriSens

Star 1

ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.

deep-learning machine-learning-algorithms ml cnn webapp xgboost logistic-regression weather-api support-vector-machine knn decision-tree random-forest-classifier plant-disease-identification gaussian-naive-bayes streamlit crop-recommendation
  • Updated May 19, 2024
  • Jupyter Notebook

fitria-dwi / Hoax-Detection

Star 2

This project aims to build a model to predict the truth of an article, hoax or non-hoax. Apart from that, this project also wants to identify the percentage of hoax and non-hoax articles.

text-mining neural-network machine-learning-algorithms logistic-regression unsupervised-learning support-vector-machines decision-tree-classifier random-forest-classifier gaussian-naive-bayes k-nearest-neighbor-classifier hoax-detection
  • Updated May 19, 2024
  • Jupyter Notebook

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