decission-tree-classifier

There are 1 repository under decission-tree-classifier topic.

• Jayplect / nba-player-points-prediction

  I worked as part of a team in this project with a goal to predict the points for basketball player for the upcoming season using machine learning techniques.

  decission-tree-classifierlasso-regressionlinear-regressionmachine-learningrandom-foresttableau-dashboardsvisualization
  Language:Jupyter Notebook 2

• Leangonplu / Default_Prediction_for_Loan_Data

  Default_Prediction_for_Loan_Data

  decission-tree-classifierknn-classificationlogisticregressionpythonrandom-forest-classifierskit-learnsmotexgboost-classifiermatplotlib-pyplotseaborn
  Language:Jupyter Notebook 1

• tdishant / Heart-attack-risk-prediction

  predicting the risk of heart attack using various machine learning models such as Logistic Regression, Decision Tree, Random Forest, K Nearest Neighbour and SVM

  machine-learningmachine-learning-algorithmslogistic-regressiondecission-tree-classifierrandom-forestknn-classificationsvm-classifierheart-attack-prediction
  Language:Jupyter Notebook 1

• TrilaksonoBS / Credit-Risk-Management-by-Using-Machine-Learning

  In this project, we wanna create Credit Risk Management by using Machine Learning, so we dig into the data. what we do for the next steps are Data Preparation, EDA(Exploratory Data Analysis), Data Visualization, Data Preprocessing (Handling Outliers, Missing Value, Feature Encoding, Standardization, and Normalization), Creating Machine Learning Model with few algorithms, Evaluation Model, looking for Feature Importance, gain insight, and create a recommendation for Credit Risk Management

  creditcreditriskcreditrisk-analysisdecision-treedecission-tree-classifierlogistic-regressionmachine-learningmachine-learning-algorithmsregressionregression-modelsrisk-analysisrisk-management
  Language:Jupyter Notebook 1

• TrilaksonoBS / Predict-Clicked-on-Ads-Classification

  The goal of this project was to 'Predict Clicked Ads Customer Classification Using Machine Learning' in order to optimize ad costs and increase engagement.

  classificationclassification-algorithmclassification-modeldecision-treedecission-tree-classifierdigitalmarketingpredictionmachine-learningmachine-learning-algorithmspythonpython3
  Language:Jupyter Notebook 1

• Udrasht / Hindi-Sentiment-Analysis-Corpus-from-Amazon-Reviews

  This project showcases a dataset of Amazon Reviews in Hindi, which we created ourselves. We applied various machine learning methods including Naive Bayes, SVM, and Decision Tree, using both Bag-of-Words and TF-IDF. Additionally, we experimented with deep learning techniques such as Feedforward Neural Networks and LSTM with ELMO embeddings.

  decission-tree-classifierfeedforward-neural-networkhindi-sentiment-analysisiiithlogistic-regressionlstm-neural-networksmachine-learningmulti-class-classificationnaive-bayes-classifiersvmtf-idfamazon-hindi-reviewsniave
  Language:Jupyter Notebook 1

• bjam24 / agh-models-in-credit-and-operational-risk

  This project and exercises were made for the Models in credit and operational risk course at the AGH UST in 2022. All provided methods are a result of my work after hours, when I was solving given tasks (topics).

  credit-riskcredit-scoringdecission-tree-classifierknn-classificationlinear-regressionrandom-forestsvm-classifier
  Language:Jupyter Notebook 0

• figtive / skywatch

  Aircraft crash prediction using decision tree.

  decission-tree-classifierspring-boot
  Language:Java 0

• elisa-ct / MRI-Classification

  Código empleado para la clasificación de imágenes de resonancia magnética para la detección de la enfermedad de Alzheimer a partir de la técnica GLCM y los algoritmos de clasificación: KNN, random forest, árbol de decisión y regresión logística.

  decission-tree-classifierglcmknnlogistic-regressionmri-imagesrandom-forest

• HillalXD / mushroom-classification

  classificationdecission-tree-classifiermushroom-classificationmushrooms
  Language:Jupyter Notebook

• nisaharan / Diabetes-Readmission-Prediction-using-Tree-based-models

  This repository contains PySpark code that implements three machine learning models for predicting diabetes readmission: Decision Forest, Random Forest, and Gradient Boosted models. These models are trained and evaluated using patient information.

  decission-tree-classifierpysparkrandom-forestxg-boost
  Language:Jupyter Notebook

• rajeshidumalla / Decision-Trees-on-Spark-Pridicting-Hand-Written-Numbers

  Hello there! In this repository I will explain how to predict hand written digits using Spark Machine Learning decision tree classifier algorithm which will produce 88% accurate predictions at the depth of 15.

  data-sciencedecission-tree-classifierhandwritten-digits-recognitionmachine-learningmlibpythonspark
  Language:Jupyter Notebook