akbloodadarsh/Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

Language: Python - Size: 93.8 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 12

shaadclt/Fake-News-Detection-DecisionTreeClassifier

This project involves detecting fake news using a decision tree classifier in Jupyter Notebook. Fake news detection is an important task in the field of natural language processing and machine learning, as it helps identify and filter out misleading or false information.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

shaadclt/Hate-Speech-Detection

This project implements a hate speech detection model using a decision tree classifier and Twitter data.

Language: Python - Size: 1.12 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

phalconVee/telco-churn-ai-ml

Predictive models to analyse a telco firm's customer-level data, to identify customers at high risk of churn and identify the leading indicators.

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rishi-singh15/US-Airlines-Decision-Trees

This project was for the 2024 Carolina Data Challenge. The theme for this challenge was travel.

Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 3

satyam9090/Machine-Learning

CSE4020: Machine Learning, Linear Regression, Multiple Linear Regression, Diff between Linear and Polynomial Regression, Classification - Decision Tree, Classification - K-Nearest Neighbours.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Saeedanbarimoghadam/Breast-Cancer-Detection-Using-Machine-Learning-Algorithms

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

halimkun/recomendation-app

A Python-based web application that leverages the Decision Tree classification algorithm to recommend companies based on user-defined criteria. Built using the Django framework, the app processes alumni data from SMK Gondang to provide personalized job suggestions for users, aiding career decision-making through data-driven insights.

Language: HTML - Size: 519 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

sudhanshusinghaiml/AWS-MLOps-Churn-Prediction-for-BankingCustomer

This project is for classify the churnability of the customer for a Bank. The model takes into account the important factors such as Credit Score, Geography, Gender, Age, Tenure, Balance, NumOfProducts, HasCrCard, IsActiveMember and EstimatedSalary

Language: Jupyter Notebook - Size: 8.84 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

combax/From-Data-to-Justice

Tree based models to predict Offender Sex and Age in unsolved homicide cases.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Shefali-Upadhyaya/vehicle-insurance-claim-fraud-detection

Vehicle Insurance Claim Fraud Detection using decision-trees, random-forest and logistic regression.

Language: Jupyter Notebook - Size: 727 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nirmalyabag20/Diabetes-Prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

manjugovindarajan/EasyVisa-US-visa-applicant-profiling-using-ML

Analyze data of US work Visa applicants, build a predictive model to facilitate approvals, and based on factors that significantly influence visa status, recommend profiles for whom visa should be certified or denied.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

krishcy25/DecisionTrees-Gini-Entropy-TitanicSurvivalPrediction

This repository contains code to build various versions of Decision Tree Models (Gini, Entropy) for the Titanic Passenger Survival prediction from Kaggle Competitions. Pruning is also performed to reduce the Overfitting

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ozerzeynep/RedWineQualityAnalysis

This project uses machine learning techniques to predict the quality of red wines based on their chemical properties. Together with data analysis and visualisation, the project aims to discover the factors that influence wine quality.

Language: Jupyter Notebook - Size: 3.16 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ShanChesseret/Predicting-Customer-Retention-For-SyriaTel-Mobile-Telecom

This project aims to predict customer churn For SyriaTel using machine learning. By identifying patterns in customer behavior, the company can take measures to retain customers and reduce financial losses.

Language: Jupyter Notebook - Size: 6.81 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AmirAflak/Data-Mining

Data Mining Course - Spring 2024

Language: Jupyter Notebook - Size: 751 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

StarlangSoftware/Classification-Js

Machine Learning Library for Classification Tasks

Language: TypeScript - Size: 1010 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/Project-Bankruptcy_Prediction

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Abhinav330/Loan-Repayment-Analysis

This repository implements a machine learning workflow for predicting loan defaults using Python libraries: pandas, seaborn, matplotlib, and scikit-learn. It analyzes the loan_data.csv dataset to classify applicants as likely to default (binary classification).

Language: Jupyter Notebook - Size: 4.29 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MohidulHaqueTushar/Classification-Algorithms-Economies-Grew

Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.

Language: Python - Size: 150 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Geeth-Priya/COPPER-MODELLING

The main objective of this project is to predict the selling price using Regression Models and identify the product status using the Classification Models. Streamlit is used to enhance accessibility and usability, allowing the users to obtain predictions for selling price and product status.

Language: Python - Size: 4.62 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fkao37/BankTermDeposit

Logistic Regression, Decision Tree, KNNeighbors, Support Vector Machines Classifiers Comparsions

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RohanAmbhore786/PRODIGY_DS_03

Task 3 of the Prodigy infotech Data science internship

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Labeba-Tahsin/diabetes_prediction

Diabetes Prediction using Decision Tree Algorithm - Machine Learning Project - Pima Indians Diabetes Database - Jupyter Notebook - Python

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

AliHaider5577/Customer-Conversion-Prediction-ML-

Forecasting customer conversion for an insurance company. By analyzing historical data, we will create a machine learning model designed to identify customers with the highest likelihood of buying a policy. The model will leverage insights from past customer behaviors to make predictions and offer valuable information to the company.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

thieu1995/MHA-FS 📦

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

Language: Python - Size: 2.51 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 7

LeftCoastNerdGirl/Disaster_Tweet_Classification_NLP

This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.

Language: Jupyter Notebook - Size: 615 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

skullick/Flavour-Recommender

Simple example using DecisionTreeClassifier with flavour dataset

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ROHILLA-PR/Python-Machine-learning-project-

Analyzing the healthcare data and generating insights, along with it predicting whether a person is a smoker/drinker or not.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

das-amlan/Forest-Fire-Prediction

Exploratory data analysis & ML algorithm Implementation on Algerian forest fires dataset

Language: Jupyter Notebook - Size: 728 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Arpita-deb/Salifort_motors_HR_analytics

Using Exploratory Data Analysis(EDA) and building different Machine Learning Models(Logistic Regression, Decision Tree, Random Forest and XGBoost) We'll help Salifort Motors to predict employee turnover rate and retain their talents.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sayande01/Stroke_Prediction_DecisonTree_EDA

Predicting stroke risk using machine learning based on health and lifestyle factors like age, gender, hypertension, heart disease, glucose level, BMI, and smoking status. The project includes data preprocessing, encoding, standardization, and applying models to accurately predict strokes and identify key risk factors.

Language: Jupyter Notebook - Size: 361 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ruban2205/Data-Science-Introduction

Welcome to the Data Science Introduction repository! This repository is designed to provide an introduction to the field of data science, covering various topics and techniques commonly used in the industry.

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 1

srosalino/Predictive_Modeling_for_Agriculture

Sowing Success: How Machine Learning Helps Farmers Select the Best Crops

Language: Jupyter Notebook - Size: 273 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TrilokiDA/DT-classifier-parameters-tunning

Decision Tree Classifier Parameters Tunning with Streamlit app

Language: Python - Size: 2.93 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ppatriciasy/diabetes-classifier

KLASIFIKASI DATA PENYAKIT DIABETES MENGGUNAKAN ALGORITMA DECISION TREE DAN PARTICLE SWARM OPTIMIZATION

Language: Python - Size: 694 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Candongo-Dev/Machine-Learning_Project-Heart-Disease-Dataset

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

Language: Jupyter Notebook - Size: 403 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

n3d1117/AI2018

Artificial Intelligence - Testing decision trees learning accuracy on datasets with missing values

Language: Python - Size: 410 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

StrangeCoder1729/FinancialFraudDetectionModels

Developed and evaluated machine learning and deep learning models for detecting financial fraud.

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

aman-095/Decision-Tree-Classifier-and-Regressor

Implementation of Decision tree classifier and regressor on Drugs and concrete dataset. Includes knowledge about Information gain and Gini index

Language: Python - Size: 63.5 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

Mugambi645/classify-song-genre-from-audio-data

Classify song genres using supervised learning models & PCA for dimensiality reduction

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Gabya06/PromotedPost

Machine learning classification to predict whether a post is promoted or not based on impressions paid.

Language: Jupyter Notebook - Size: 329 KB - Last synced at: 9 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Vinzzztty/Perbandingan-Model-Klasifikasi

Membandingkan kinerja empat algoritma klasifikasi yang berbeda berdasarkan metrik evaluasi seperti akurasi, precision, F1-score, dan recall. Selain itu, memvisualisasikan hasil menggunakan Confusion Matrix.

Language: Jupyter Notebook - Size: 5.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

blleshi/Machine_Learning_Trading_Bot

Machine Learning Trading Bot (Algorithmic Trading)

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ahmad-Ali-Rafique/Adult-Income-Dataset

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.

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

FaezehAbedi2023/Optimizing-Credit-Card-Fraud-Detection-in-Banking-with-Ensemble-Learning-Techniques

This research advances credit card fraud detection by integrating machine learning and deep learning techniques. Key findings include improved model adaptability through hyperparameter tuning.

Language: Jupyter Notebook - Size: 62.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Alssndr0/ML_Hospital_LOS

Classifiers Comparison: Decision Tree vs. Naïve Bayes for Predicting the Length of Hospital Stays (LOS)

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

SayamAlt/PySpark-for-Big-Data-and-Machine-Learning

This is the material for Jose Portilla's Spark and Python for Big Data and ML course.

Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

10mudassir007/Water-Potability

Water potability classifier using simple logistic regression to advanced gradient boosting algorithms

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vaibhavmakhloga/Decision-Tree-Implementation-from-scratch

Every step of the split in the decision tree implemented from scratch (without using sklearn) is printed. Iris dataset is used.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

jirvingphd/iowa-prisoner-recidivism-mod-3-project Fork of learn-co-students/dsc-3-final-project-online-ds-ft-021119

Classifying which released prisoners in Iowa will return to a life of crime using Next-Gen Gradient Boosted Trees

Language: Jupyter Notebook - Size: 160 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

manasiwaghmare18/Term_Deposit_Subscription_Prediction

Decision_Tree_Classifier.......................................................................................................... .Task 3 of the Prodigy infotech Data science internship

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

saranya-ponnarasu/Binary-Classification-of-Insurance-Cross-Selling

Predicting customer insurance uptake using a Decision Tree model."

Language: Jupyter Notebook - Size: 35.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Pradnya2003/Fake-News-Detection

The project involves developing a news classification system to distinguish between true and fake news using Logistic Regression and Decision Tree models. It includes data preprocessing, model training, and manual testing functionalities to evaluate the accuracy of the classifiers.

Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning

A Heart Disease Prediction System built on machine learning

Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

Bugss05/IACD_Predicting_Hepatocellular_Carcinoma_through_SML

Predicting Hepatocellular Carcinoma through Supervised Machine Learning

Language: HTML - Size: 247 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

Language: Jupyter Notebook - Size: 141 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shreenidhi7700/Heart-Disease-Prediction

By Analyzing the dataset through Machine and Deep learning models we have to classify whether a person has heart disease or not.

Language: Jupyter Notebook - Size: 4.44 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

joaobaptista30/Decision_Tree

DT algorithm for classification problems, created from scratch

Language: Jupyter Notebook - Size: 31.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yogawan/machine-learning

Sela, E. I. (2023). Modul Praktikum Machine Learning. Fakultas Sains dan Teknologi Universitas Teknologi Yogyakarta.

Language: Jupyter Notebook - Size: 519 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

haukzero/DecisionTree-strat-from-scratch

依据西瓜书从零开始手写决策树分类器，只使用 pandas, numpy, graphviz 三个扩展包，其中 graphviz 用于将生成的树可视化

Language: Python - Size: 2.23 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

tejgit8102/PRODIGY_DS_3

Task 3 - Prodigy Infotech Data Science Internship

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anishapareek/random-forest-project

This project creates a Decision Tree and Random Forest classifier to predict whether a borrower will pay back their loan.

Language: Jupyter Notebook - Size: 604 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

anik475/Covid-19-Awareness-Ohio

To calculate the number of Covid-19 cases in Ohio.

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

flowa-ai/flowa

Machine Learning Toolkit

Language: Python - Size: 290 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

jElhamm/InterNode-Hellinger-Distance-based-Decision-Tree

Simulations for the paper "Inter node Hellinger Distance based Decision Tree by Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib"

Language: Python - Size: 152 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

orestasdulinskas/road_accident_casualties

The project predicts road accident severity in England and Wales using machine learning and statistical analysis on a Kaggle dataset. It also examines how weather, road, lighting, and vehicle factors influence accident severity and identifies high-risk areas using geospatial analysis. The dataset contains road accident info from 2019 to 2023

Language: Jupyter Notebook - Size: 897 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

tboudart/Life-Expectancy-Regression-Analysis-and-Classification

I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

SohelRaja/Customer-Churn-Analysis

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 13

diyapratheep/wine-quality-prediction

The focus is on predicting the quality of wine based on its chemical characteristics. The dataset encompasses diverse chemical attributes, including density and acidity, which serve as the features for three distinct classifier models.

Language: Jupyter Notebook - Size: 523 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ashwani-Verma-07/Predicting-Performance-of-Advertisement

A Performance Study of Naive Bayes Classifier in Advertisement Analysis

Language: Jupyter Notebook - Size: 984 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Yeaseen/ML_Pattern

:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

Language: Python - Size: 6.44 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 23 - Forks: 3

muhammadadilnaeem/Concrete-Compressive-Strength

This project aims to predict the compressive strength of concrete using various machine learning models. The analysis is performed on a dataset that includes features such as the composition and age of the concrete. The goal is to identify the most effective model for predicting concrete strength.

Language: Jupyter Notebook - Size: 940 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

aishwaryagulabthorat/Decision-Tree

The project focuses on predicting the presence of heart disease based on various medical variables such as age, sex, and cholesterol level. Decision tree models are employed for this classification task, exploring both basic and hyperparameter-tuned versions.

Language: Jupyter Notebook - Size: 7.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AntonSarr/strtree

Python package for strings binary classification, based on trees and regular expressions

Language: JavaScript - Size: 708 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

amrkld/Fraud-detection-ML-model

Fraud Detection machine learning model utilizes the "DecisionTreeClassifier" to identify fraudulent activities on an online payment app.

Language: Jupyter Notebook - Size: 115 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

andi611/Naive-Bayes-and-Decision-Tree-Classifiers

Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

Language: Python - Size: 16.5 MB - Last synced at: 8 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2

hwerbi/IRIS_DATASET_PYTHON

Ce TP vise à : - La prise en main de la bibliothèque scikit-learn de Python, dédiée à l'apprentissage automatique - Sensibilisation à l'évaluation des modèles appris en classification supervisée. Iris is a dataset introduced in 1936 by Ronald Aylmer Fisher as an example of discriminant analysis.   This set contains 150 examples of criteria observed on different species of Gaspésie iris (Setosa, Versicolor, Verginica). Each example is composed of four attributes (length and width of the sepals in cm, length and width of the petals in cm) and a class (the species).

Language: Jupyter Notebook - Size: 316 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

Language: Jupyter Notebook - Size: 575 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

aakanksha1406/Students-Performance-Analysis

Students' Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at last applying Classification Algorithms from Machine Learning to Separate Students with different grades

Language: Jupyter Notebook - Size: 379 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bushra-muneer/Credit-Card-Fraudulent-Detection

Credit Card Fraud Detection System built using Python. The system utilizes machine learning algorithms to detect fraudulent transactions from a given dataset.

Language: Python - Size: 2.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Danishyousuf19/Decision-Tree-and-Random-Forest

This contains all the project in which i have used Decision Trees and Random Forest to Predict output

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AmirMotefaker/Bank-Customer-Churn-Prediction

Predicting which customers are at high risk of leaving your company or canceling a subscription to a service, based on their behavior with your product.

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RedPotato46/Ames-House-Pricing-ML-Project-1

This data set is a repository of all the houses that were sold in the Ames region in the USA. It has roughly 80 useful features describing the houses’ size, location, and various amenities offered.

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PriyankaSPawar/Data-Science-Supervised_Machine_Learning-Classification_Prediction_of_Housing_Prices

This Project aims to predict the prices of Houses using ML classification algorithms and based on that classify whether the house is "Expensive" or "Not Expensive"

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chenyu-chang/KNN-Imputation-and-Decision-Tree

This repository provides a C++ implementation for managing missing clinical data using KNN Imputation and building a Decision Tree Classifier. The code allows for estimation of missing values from a dataset and construction of a classifier to categorize subjects as positive or negative cases, based on their clinical features.

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josericodata/MScDataAnalyticsFirstSemesterAssignmentTwo

Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

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aadhityasw/VIT-Labs

A bunch of codes done in the labs of various courses during Undergrad.

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ocramz/decision-trees

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ahmadsaraj246/Loan-Approval-Prediction

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abinashsahoo007/Data-Science-Assignments

Find all my Data Science Assignments Here. These Assignments are based on different Statistical and Machine Learning Algorithms which are performed using python language💻.

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SrinithiSaiprasath/Data_Extraction_and_Analysis 📦

The workflow includes data exploration, dimension reduction, and visualization, with the integration of machine learning concepts for advanced analysis. The GitHub repository provides comprehensive documentation and instructions for replicating the analysis and findings.

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sultanazhari/Customer-habit-analysis-model

Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package

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saumyaprasad07/Gaming-Ballot-Analysis-using-Machine-Learning

This repository contains a Gaming Ballot Analysis project made by me as a part of my Machine Learning Coursework.

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saumyaprasad07/Customer-Churn-Analysis-using-Machine-Learning

This repository contains a Customer Churn Analysis project made by me as a part of my Machine Learning Coursework.

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jonathanwilton/RobustDecisionTrees

A python implementation of tree methods for learning with noisy labels.

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grachale/predict_titanik

Predicting the survival of Titanic passengers (binary classification) with usage of decision tree and KNN from scikit-learn.

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krunal-nagda/Credit-Card-Fraud-Detection-Capstone-Project---Decision-Tree-and-Random-Forest

In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

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umarshahzadumar91/Customer-churn-predication

Customer churn prediction is the process of using data analysis and machine learning techniques to forecast which customers are likely to stop using a product or service.

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