GitHub topics: decision-trees | Ecosyste.ms: Repos

stepbystepsab/data-science-decision-trees

Case studies for Decision Trees

Size: 2.93 KB - Last synced at: 41 minutes ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

khuynh22/SecureSense-A-Data-Driven-Framework-for-Phishing-Attack-Prevention

SecureSense: A Data-Driven Framework for Phishing Attack Prevention

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: about 3 hours ago - Pushed at: about 5 hours ago - Stars: 2 - Forks: 0

jamiee9604/special

📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.

Language: Python - Size: 8.1 MB - Last synced at: about 3 hours ago - Pushed at: about 5 hours ago - Stars: 1 - Forks: 0

NektariaMoka/Trading-Algorithms-AI

Time Series Analysis, Decision Trees and Random Forests, Sentiment Analysis, Neural Networks and Genetic Algorithm

Size: 5.86 KB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 1 - Forks: 0

Dayan8554/House-Price-Model

🏠 Predict house prices using machine learning with data cleaning, feature engineering, and regression modeling for accurate results.

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

arcena9/R-Machine-Learning-TCR

📈 Analyze thyroid cancer recurrence using logistic regression and advanced machine learning algorithms for accurate risk stratification and insights.

Language: HTML - Size: 1.91 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

SJ2005-code/rossmann_sales_forecast

Forecast daily sales for Rossmann stores using XGBoost. Leverage historical data and store metadata for accurate predictions. 📊🌟

Language: Jupyter Notebook - Size: 301 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

Maksim09000/real-time-stock-predictor

Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻

Language: Python - Size: 9.77 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 0

SirBleu/Intelligent-Analytics-Artificial-Neural-Networks

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

Grimstrrr/Argonz-ML

A light weight machine learning library published on npmjs

Size: 1000 Bytes - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

StochasticTree/stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

Language: C++ - Size: 40.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 59 - Forks: 17

subash12345679-png/RentalPrice-ML-Modeling

📊 Predict apartment rental prices in Tel Aviv using machine learning models, featuring Elastic Net and Decision Trees for accurate forecasting.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

CODEMONING/Wine-Quality-Prediction

This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key factors affecting wine quality and builds a predictive model to classify wines.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

IsaCouture/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

mafrs47/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

Quang123-op/Heart_Attack

Predict the likelihood of heart attacks using machine learning. Includes data preprocessing, feature selection, model training, and evaluation to assist early diagnosis and intervention

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

theRealProHacker/affenbaeume

Decision Trees for deciding about the danger of apes

Language: Python - Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Mohanad7770/flower-installer

🌼 Automate Celery Flower setup and deployment with SSL, Basic Auth, and systemd in one command for secure, efficient monitoring on Ubuntu/Debian.

Language: Python - Size: 12.7 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

zhaa-kun/analytical-models-in-excel

🐙 Analytical Models in Excel: linear regression, forecasting, classification, and visualizations. Data analytics portfolio of predictive models built in Excel.

Size: 578 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Agasthi1212/lung-cancer-prediction-logistic-regression

🐙 Lung cancer prediction with logistic regression using clinical features and feature selection, with robust evaluation metrics. Code and results live in the analysis notebook.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

KefaMensch/IMDB_Prediction

IMDB Prediction Model Using Machine Learning

Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Yanne0800/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

Size: 1000 Bytes - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

pssnyder/v7p3r-chess-engine

V7P3R is a Python-based chess engine for analysis and AI gameplay, featuring my in house built, fully configurable evaluation engine, PGN/JSON data handling, and complete UCI compliance. This is where it all started.

Language: Python - Size: 434 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

classdeveloper/Stock-Market-Prediction

A Flask-based web app that predicts future stock prices using an LSTM deep learning model. Users can register, log in, and view visual forecasts, comparisons, and analytics on stock trends. Includes admin dashboard, feedback system, and live data from Yahoo Finance.

Language: HTML - Size: 1.63 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

CERTCC/SSVC

Stakeholder-Specific Vulnerability Categorization

Language: Python - Size: 9.56 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 166 - Forks: 42

rojaAchary/30-Days-of-ML-Kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 206 - Forks: 62

parrt/dtreeviz

A python library for decision tree visualization and model interpretation.

Language: Jupyter Notebook - Size: 187 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 3,105 - Forks: 344

NicolasAguirre1008/customer_cohort

📊 Analyze customer retention and cohort behavior for e-commerce using the Olist dataset to enhance engagement and identify key trends.

Size: 7.35 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

gkeiel/market_trading_signals

A Python tool for backtesting and trading signals on global markets

Language: Python - Size: 29.3 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

bonfim1/Marchine-Learning

Language: Python - Size: 14.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

karsterr/MATLAB-Code-vs-App-Emotion_Analysis

A comprehensive comparison between manually coded MATLAB models and models generated using MATLAB's Classification Learner app for emotion analysis.

Language: MATLAB - Size: 40.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Badshah1508/Malware-Detection

The malware detection process involves extracting features from APK files, encoding them numerically, and splitting the data into training and testing sets. A Random Forest model is trained and evaluated based on accuracy, precision, recall, and F1-score. The model is then used to classify new APKs as malware or benign.

Size: 2.93 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

duonggiang64/Salary-prediction-interpretability-and-explainability

This project explores an educational dataset to understand factors influencing students’ academic performance. The analysis includes descriptive statistics, data visualization, and the development of a predictive model to estimate student outcomes. To enhance model interpretability, SHAP (Shapley Additive Explanations) was applied to explain featu

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

shahbajtahershezan/Crop-Recommendation-using-ML-Algorithms

A machine learning-based crop recommendation system that predicts the most crop to cultivate based on environmental and soil parameters. This project compares multiple classification algorithms, including SVM, Random Forest, Decision Tree, KNN, Naive Bayes, Logistic Regression, and ANN, to determine the optimal model for accurate crop prediction.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

arjkun456/Predicting-Movie-Rental-Durations-DataCamp

📀 Predict rental durations for DVDs using regression models to enhance inventory planning and improve customer satisfaction.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 34.4 MB - Last synced at: 6 days ago - Pushed at: 11 days ago - Stars: 104 - Forks: 14

Tamoziit/Data-Mining

Data Mining Assignments & codes

Language: Jupyter Notebook - Size: 451 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Language: Python - Size: 97.9 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 5,447 - Forks: 1,073

ashabakshi/Machine-learning-practice

Machine Learning practice notebooks and projects by Asha Bakshi

Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

mehmoodulhaq570/ML-Models

A repository consisting of implementation of all machine learning models.

Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 5 - Forks: 0

microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Language: C++ - Size: 23.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 17,764 - Forks: 3,946

google/yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Language: C++ - Size: 45.6 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 612 - Forks: 68

SermetPekin/random-forests-c Fork of andriidski/random-forests-c

Implementation of Random Forests model and decision trees in C

Language: C - Size: 274 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

adc-trust-ai/trust-free

An interpretable regression model in Python with Random-Forest-level accuracy

Language: Jupyter Notebook - Size: 45.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Language: C++ - Size: 1.51 GB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 8,630 - Forks: 1,239

muktajoya/Case-Study-Time-Series-Forecasting-German-Electricity-Market-2015-2024-

Developed and compared models to forecast hourly electricity load and prices using over nine years of real-world German market data, spanning linear methods (AR, OLS) and machine learning algorithms (Random Forests, Regression Trees).

Size: 2.76 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

prince-c11/online-payment-fraud-detection

Building an online payment fraud detection system using machine learning algorithms. It utilizes three primary classification algorithms - Logistic Regression, Decision Tree, and Random Forest - to analyze and classify transactions as either legitimate or fraudulent.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

gkeiel/b3_trading_signals

A Python tool for backtesting and trading signals on B3 - Brazil Stock Exchange

Language: Python - Size: 1.62 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

masterArnob/Australian-Rain-Fall-Analysis-and-Prediction-using-Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

tensorflow/decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Language: Python - Size: 5.78 MB - Last synced at: 4 days ago - Pushed at: 10 days ago - Stars: 690 - Forks: 114

admirable-ubu/decision-trees-simulator Fork of danieldf01/danieldf01.github.io

This tool presents an open source teaching tool that aims to improve the understanding of the generation of ID3 decision trees, by visually and interactively showing the training steps to be followed.

Language: JavaScript - Size: 4.14 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 0

AmirKh777/Data-Science-Yandex-Practicum

My projects from the Yandex Practicum Data Science course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Cnair02/DiabetesDetection-ML

Predictiver modelling with Diabetes PIMA Dataset which consists of model comparison using decision tree, random forest, logistic classifier and xgboost algorithms

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

maryemchk/arabic-quote-classifier

Arabic-quote classifier: 24 k web-scraped quotes → Arabic NLP pipeline → Decision-Tree model; 74 % acc, 21 cats perfect (AUC 1). Repo + notebooks ready for AraBERT & API upgrades.

Language: Jupyter Notebook - Size: 7.51 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

hgabrali/Vehicle-Silhouette-Classification-for-Prospect-Auto

The primary goal of this project is to develop and evaluate a robust multiclass classification model.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

jonasluz/visneed

This repository replicates the code source of the VisNeed tool, originally publicated on Zenodo, at https://zenodo.org/records/15459896

Language: JavaScript - Size: 1.26 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

mmottl/aifad

AIFAD - Automated Induction of Functions over Algebraic Data Types

Language: OCaml - Size: 1000 KB - Last synced at: 4 days ago - Pushed at: 12 days ago - Stars: 30 - Forks: 2

aitorvv/metrics_for_individual_tree_mortality_models

Code, data and resources for "How performance metric choice influences individual tree mortality model selection"

Language: TeX - Size: 10.3 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

cerlymarco/linear-tree

A python library to build Model Trees with Linear Models at the leaves.

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 385 - Forks: 57

mdabros/SharpLearning

Machine learning for C# .Net

Language: C# - Size: 4.04 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 400 - Forks: 86

wangluchen567/MELON

基于NumPy构建的机器学习模型<br>ChEn's Machine Learning model Organized using Numpy

Language: Python - Size: 14 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

RK-Riya2201/CardioPredict-Heart-Disease-Prediction-System-Using-Machine-Learning

CardioPredict is a web-based application that uses machine learning to predict the risk of heart disease. By analyzing key patient health parameters such as age, blood pressure, cholesterol levels, chest pain type, and other clinical data, the system helps in early detection and preventive care for cardiovascular conditions.

Language: Jupyter Notebook - Size: 167 KB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

mgiannopoulos24/Artificial-Intelligence

Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley

Language: Python - Size: 20.7 MB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 22 - Forks: 12

Fatemerjn/Classic-Machine-Learning

Hands-on collection of classic ML algorithms and mini-projects. From-scratch + scikit-learn implementations for regression/classification/clustering (LR, SVM, DT/RF, KNN, K-Means, PCA), with preprocessing, cross-validation, metrics, and clear notebooks for learning and reuse.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

bogomil-iliev/gold-price-ml

Gold price forecasting in INR using Multivariate Linear Regression vs Decision Tree (quantile transform). EDA → prep → train → evaluate (scikit-learn).

Language: Python - Size: 1.55 MB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

neurodata/SPORF

This is the implementation of Sparse Projection Oblique Randomer Forest

Language: C++ - Size: 108 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 101 - Forks: 45

nirmal2i43a5/Employee-Churn-Prediction

An interactive HR-analytics app predicting employee churn via scikit-learn pipelines and Streamlit

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 1

siboehm/lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Language: Python - Size: 4.91 MB - Last synced at: 19 days ago - Pushed at: 22 days ago - Stars: 443 - Forks: 37

Rowlkh/Credit-Card-Approval-Prediction-Classification-

The Credit Card Approval Prediction project predicts credit card approval using applicant data, with models like KNN, Decision Trees, and MLP. It includes data preprocessing, feature selection with Genetic Algorithms, and hyperparameter tuning.

Language: Jupyter Notebook - Size: 8.25 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 3

TobyBoyne/bark

Jointly-trained tree kernels for Gaussian processes

Language: Python - Size: 84.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 9 - Forks: 1

Saravanakumar-AS/Fertilizer-Recommendation-System-Using-Machine-Learning

A machine learning–based Fertilizer Recommendation System that suggests the best fertilizer using soil type, crop type, temperature, humidity, moisture, and NPK levels. It helps farmers make data-driven decisions to improve crop yield and soil health with accurate and efficient predictions.

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

Shreek195/bank-customer-churn-prediction-hpo

End-to-end machine learning pipeline to predict bank customer churn using Decision Tree and Random Forest, with feature engineering, evaluation, and hyperparameter tuning.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

micahondiwa/applied-data-science

A collection of 8 Applied Data Science projects.

Language: Jupyter Notebook - Size: 46 MB - Last synced at: 12 days ago - Pushed at: 25 days ago - Stars: 2 - Forks: 2

MarkPhamm/housing_purchase_predictor

A production-ready ML pipeline to predict house purchase decisions using ensemble methods on real estate data.

Language: Python - Size: 9.67 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

NeamulIslamFahim/Diabetes-Prediction-Machine-Learning

This repository contains the code and resources for a machine learning project aimed at diabetes prediction. We have implemented multiple machine learning models and data visualization techniques to build an accurate diabetes detection system.

Language: Jupyter Notebook - Size: 3.87 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

gauravsy704/SCT_DS_3

Built a decision tree classifier to predict whether a customer will purchase a product or service, based on demographic and behavioral data using the Bank Marketing dataset from UCI Machine Learning Repository. Achieved strong test accuracy and visualized model results using Python and key data science libraries.

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

rolkra/explore

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

Language: R - Size: 51.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 240 - Forks: 28

dishafaujdar/MiniKit

Mini version of scikit learn, to understand different algorithms

Language: Python - Size: 108 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mahirTaj/Life-Expectancy-Prediction

Machine learning project predicting life expectancy using WHO dataset with Linear Regression, Decision Trees, and Neural Networks.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

joemathew2004/S5_AI-Lab-and-ML-Lab-Programs

This is a repo comprising of S5 AI and ML lab Programs. Programs are designed for educational purposes and demonstrate AI and ML concepts.

Language: Python - Size: 67.4 KB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RifaAmrilSahputra/Twitter-Sentiment-Analysis

Twitter sentiment analysis using machine learning, classifying tweets into Positive, Negative, Neutral, or Irrelevant.

Language: Jupyter Notebook - Size: 315 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

somjit101/Predictive-Maintenance-Industrial-IOT

Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicing and optimal performance.

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 5

gonzaloignacio/clustering_and_classification_of_sp500_stocks

Analysis of S&P 500 stocks using clustering and classification to assess investor profiles based on risk and return.

Language: R - Size: 906 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RhiteshKS/SMAI-Course-Assignments

All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024

Language: Jupyter Notebook - Size: 9.6 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

rishishanthan/predictive-health-assessment

Predictive Health Assessment using Statistical Learning. Implemented supervised and unsupervised learning methods in R — logistic regression, decision trees, random forests, k-means clustering, and PCA — to analyze healthcare survey data. Includes full RMarkdown analysis, presentation, and poster.

Size: 3.07 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

exmnx/STA-HW

Work from various classes

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

karlalucic/AI-programming-assignments

Laboratory assignments from Introduction to Artificial Intelligence course at FER, academic year 2024/25.

Language: Python - Size: 1.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AchrafSL/Predicting-Movie-Rental-Durations-DataCamp

📀 Predicting Movie Rental Durations | Regression project to forecast DVD rental length. Compares Linear, Ridge, Decision Tree & Random Forest models with hyperparameter tuning. Goal: Identify best model & report its actual MSE (suggested target: ≤3).

Language: Jupyter Notebook - Size: 623 KB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

azurechen97/asymmetree

AsymmeTree: Interactive Asymmetric Decision Trees for Business-Ready Imbalanced Classification

Language: Python - Size: 224 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

catandrats/BaseBot

A machine learning program originally designed to steal baseball signs. It is built to analyse the binary outcome of sequencial data and give its current prediction as data is entered. This is where I am putting the executable for the programs current date as of 9/9/21. The project was inspired by this youtube video. https://www.youtube.com/watch?v=PmlRbfSavbI&t=46s I might make the code public when I've written a document explaining the algorithms used by this software.

Language: Python - Size: 16.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

rachkat/random-foresst-analysis-r-studio-plotting-classification-tree

Classification analysis in R using the birthwt dataset. Built and compared Decision Tree and Random Forest models to predict low birth weight. Both achieved 71.05% accuracy, with Random Forest reducing overfitting and confirming maternal weight and age as key predictors.

Size: 1.71 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0