Topic: dicision-tree Goto Github
Some thing interesting about dicision-tree
Some thing interesting about dicision-tree
dicision-tree,Machine Learning - Binary Classification
User: akashbangalkar
dicision-tree,This is python for DS and ML bootcamp
User: aknafu12
dicision-tree,Machine learning model for Credit Card fraud detection
User: anushkasaini
dicision-tree,MDBOT (Graduation Project)
User: ayaiibrahim
dicision-tree,Graduation Project
User: ayaiibrahim
dicision-tree,Decision tree algorithm demonstration
User: chavhan
dicision-tree,Heart Disease prediction using 5 algorithms
User: chayandatta
dicision-tree,model to predict the survival in the Titanic disaster, with 98.8 accuracy.
User: chhavi-trivedi
dicision-tree,Panads,Numpy, Scikit learn, Keras, ML Libraries
User: cmjagtap
dicision-tree,Various data structure implementations in Python
Organization: dignipy
dicision-tree,In this repository, I've added all the classes regarding Machine Learning using SKlearn library with Python which I've covered at SMIT
User: hamza-a-ansari
Home Page: https://scikit-learn.org/stable
dicision-tree,This is the second project in University of Tehran College of Engineering AI course.
User: mhmb
dicision-tree,finding_donors machine learning model
User: mootawaty
dicision-tree,Diabetes Dataset This dataset is originally from the N. Inst. of Diabetes & Diges. & Kidney Dis.
User: mtalibfarooq
Home Page: https://www.kaggle.com/datasets/mathchi/diabetes-data-set
dicision-tree,This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.
User: mubshr07
dicision-tree,AICTE VOIS internship in AI & ML. This repository consists implementation of AI and ML models. and Project on "Diabetes Prediction"
User: pagaredivyanka
dicision-tree,Application for predicting the flight fares at different dates with different transporters
User: palemravichandra
Home Page: https://palemravichandra-flight-fare-prediction-app-gizw37.streamlit.app/
dicision-tree,Ever wondered which file your code should be in? Based on this tree you can determine what kind of code you are working with.
User: reindert-vetter
dicision-tree,This project implements a Disease Prediction System using various machine learning algorithms to predict potential diseases based on user-provided symptoms. The system utilizes a Django web framework to provide a user-friendly interface for inputting symptoms and viewing the predicted disease.
User: sanu0711
Home Page: https://abhishekyadav0711.pythonanywhere.com/
dicision-tree,
User: shadow23-cmi
dicision-tree,Machine Learning algorithms implemented from scratch. Different ML algorithms implemented from scratch. Namely, Multipile Linear Regression and Logistic Regression KNN and Naive Bayes Recrusive Decision Trees Bagging and Boosting (Ada Boost) Yarwosky's Algorithm and Agglomerative Hierarchical Clustering
User: shreyash0023
dicision-tree,"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
User: tushar365
dicision-tree,Practice dataset for regression or classification modelling
User: walidkw
Home Page: https://www.kaggle.com/code/walidkw/red-wine-quality-eda-classification-90
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