decisiontreeclassifier
There are 86 repositories under decisiontreeclassifier topic.
FaezehAbedi2023/Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models
This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.
mdaiyub/Diabetes-Prediction
Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.
heroorkrishna/Incident-Impact-Prediction
Predicting the incidents raised by the customer
karlvmsousa/Machine-Learning-Recipes
Machine Learning Recipes is a series of videos from Google Developers covering codes (python) and insights about ML.
dvilaverde/SkLearn2Java
A parser for scikit-learn exported text models to execute in the Java runtime.
KarthikMurugadoss1804/Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
mdsahilak/DecisionTreeClassifier
Implementing a Generic Decision Tree Classifier in Swift and comparing it with a python version.
noambassat/Gemstones_Project
Data Science final project
seb-in/10-Classifiers-Confusion-Matrix-and-Accuracy
SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier
victor-ludorum/Disease_Prophecy
This project used machine learning concept to predict disease on their symptoms
aufahuhs/Advanced-Machine-Learning-Personal-Project
This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)
cltai9145/Multilabel-Text-Classification
Predicting Tags for Stack Overflow
muhammad3245571106/Student-Grade-Prediction
This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.
MusaMasango/Credit-Card-Fraud-Detection-Project
The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
prathamkandari/FASAL-FUSION
This repo contains the Minor Project 1 named Fasal Fusion: An Algorithmic Approach to Transform Crop Recommendations
Safaa-p/Fraudulent-Insurance-Claims-Detection
Different models to detect if a claim is fraudulent or not
5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
Ali-jalil88/-Bank-Marketing-Machine-Learning
Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy
ArtZaragozaGitHub/NLP--P6_Sentiment_Analysis_and_Summarization_of_Stock_News
Natural Language Processing AI-model driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions and optimize investment strategies.
bharanianand/Toyota-Corolla
Regression Analysis - Toyota Corolla price prediction
dixitamol/ML_code_templates_Py
Code templates for data prep and different ML algorithms in Python.
lakki0704/Farmassistant
A crop recommendation website which uses an ML model (decision tree classifier) to recommend the crop that can be grown in a particular area
leomarkcastro/Machine-Learning
Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1
Madhura-deshpande/Decision-Tree-Classifier
Decision tree classifier to predict the right classes of the observations in the 'Iris' data set.
NAVEENDATAANALYST/PREDICTING-SURVIVAL-ON-TITANIC-IN-R
This is my own code. The data set is taken from Kaggle competitions. Here is the link: https://www.kaggle.com/competitions/titanic
PhilSchoeb/weather_classification
Machine Learning (IFT3395) Kaggle competition 1
RimTouny/User-Forest-Cover-Type-Prediction
Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).
srilakshmi-thota/Machine-Intelligence-Expertise-Systems
EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019
swarna0712/Of-Genomes-and-Genetics-Data-Analytics
Predicting genetic disorder and disorder subclass based on familial history and its effects
tejasayya/Alzheimer-s-Disease-Analysis
A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?
Aliakbar-omidi/Iris-practice-project
This project is a test modeling for the Iris flower dataset
arrhythmia-detection/AuthorFeatureExtractedDecisionTreeEsp32S3
Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
Malferrari48/CSL_med_classifier
Project for the "Computational and Statistical Learning" course.
Ali-jalil88/Mlflow-Bank-Marketing
Bank-Marketing dataset using Mlflow
khresth/Image-Classification-Mini-Research-Project
This project was developed as part of the SCC 361 Artificial Intelligence module coursework. This includes data preparation, training/testing splits, K-Nearest Neighbors with custom distance metrics, comparisons with pre-built classification models and a report.
Khushi130404/Titanic_Pipeline
This project predicts whether a person survived the Titanic disaster based on various features using machine learning. It utilizes pipelines, ColumnTransformer, and model serialization for efficient processing and prediction.