sumansuhag/Statistics-notebook

Statistical Analysis Mastery: Hypothesis Testing & Regression Analysis Dive into the world of statistics and machine learning with this thoughtfully curated repository designed for learners, professionals, and data enthusiasts alike. Unlock the power of data-driven decision-making by mastering hypothesis testing and regression techniques.

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a-b-h-a-y-s-h-i-n-d-e/Assignment_TechPranee

solution for assigment given for internship

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Depermitto/decision-tree

Decision trees with roulette attribute splitting

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BeheshteSadeghi/TitanicSurvivalPrediction_PycaretPipelineGridSearchCV

The focus of this project is on Data Cleaning, Data Analysis, Gaining an insight from Pycaret Classification tool over best ML algorithms, hyperparameter tuning through GridSearchCV for top ML algorithms and generating Pipeline for the best algorithm.

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Aswajith7077/DecisionTreePredictor

A Custom Decision Tree Classifier using CART Algorithm. Utilizes a custom Data handler class for pre-processing the data. Generated decision trees as Python snippets for predictions.

Language: Python - Size: 42 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

munas-git/Fake-news-detection

A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS

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ahmadrezasedghi/iris_classification

This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

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sushant1827/Credit-Card-Fraud-Detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

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The15thSin/Phishing-URL-Project

This is the Phishing URL detector made using ML model. The frontend is made on ReactJS and backend is on Flask.

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arrhythmia-detection/AuthorProvidedFeaturesCombinedDT

Deploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board

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arrhythmia-detection/AuthorProvidedFeaturesCombinedDTOptimized

Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board

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arrhythmia-detection/AuthorFeatureExtractedDecisionTreeOptimizedEsp32S3

Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit

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leovidith/Early-Stage-Hypertension-Stage-Detection

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nlacey111/Machine-Learning

Machine Learning projects from undergrad.

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sarahloree/Project-2--Bank-Loan-Marketing-Model

This is the second project I completed as part of the Machine Learning Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

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Ansuman21/Analyzing-and-Forecasting-Restaurant-Inspection-Grades-in-NYC

Data Science Project (Final)

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mariamffatima/Machine-Learning-Tasks

This repository contains a collection of lab tasks, assignments, and projects designed to learn and practice key concepts in Machine Learning. It includes hands-on Jupyter notebooks covering fundamental ML techniques, real-world projects, and theoretical exercises. Ideal for students and enthusiasts aiming to deepen their understanding of ML.

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kevinlin1/text-classifier

Implementing a decision tree data type for text classification.

Language: Java - Size: 4.97 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

s-m-quadri/cyberus

Cyberus is a tool to check the generic and sentimental legitimacy of the message, and it gives an approximate idea of the risk, based on the dataset, on which it has trained, and some machine learning models for predicting the risk quantitatively.

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Rupsvarshney/heart-disease-prediction

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

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meAnubhav/Kidney-Disease-Prediction-Model

A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.

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SimranS22/Heart-Disease-Prediction-Model-SurTech

A ML application(deployed on flask) to detect heart disease in patients based on medical features.

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SimranS22/MSFT-StudentSummit-2023

Python for Machine Learning | Microsoft Student Summit 2023

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SriNeogi/Deals-Prediction-Python

Binary Classification problem (Won = 1, Lost=0)

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alphacrypto246/Employee-Attrition

This project analyzes employee attrition data to uncover key factors driving employee turnover. Using Python, it employs data preprocessing, exploratory data analysis, and machine learning models to predict attrition and provide actionable insights for improving employee retention strategies.

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04bhavyaa/income-prediction-end-to-end-mlproject

The goal of this project is to predict whether an individual's income is greater than $50,000 or less than $50,000 based on various features.

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amanovishnu/anamoly-detection-using-decision-classifier 📦

the kdd 99 anomaly detection application is a flask web app that predicts anomalies in the kdd 99 dataset using a decision tree classifier. it allows users to input features for prediction and offers a user-friendly interface with real-time predictions and low latency.

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EricaYanoshak/AI-Purchase-Behavior-Project

This project focuses on predicting customer purchase behavior using machine learning models, with an emphasis on feature importance.

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KlimentLagrangiewicz/CART-in-C

Naive implementation of CART (Classification And Regression Tree) algorithm in C (standard C89/C90) for data classification

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mehtabhavin10/insurance_fraud_detection

:mag: | :chart_with_upwards_trend: | Life / Health Insurance Fraud Detection | :clipboard: | (Codeshahstra Round 1 Hackathon)

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theo-liang/Python-Project-Analysis-for-ClimateWins

This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.

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saahen-sriyan-mishra/Machine-Learning-Python

This Repo. contains all my Python based Machine Learning projects using numerous algorithms for the purpose of Classification, Clustering, Recommendation, Prediction and Anomaly Detection.

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bunnythewiz/ML-Algorithms-from-Scratch

A collection of foundational machine learning algorithms implemented from scratch.

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StarlangSoftware/Classification-Py

Machine learning library for classification tasks

Language: Python - Size: 1.4 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 13 - Forks: 2

DesmeryJuan/ChurnBank-ia

This code was used to find the cause of customers leaving the bank. Knowing this we can avoid it in the future, maximizing profits.

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kanchitank/Mushroom-Classification

A machine-learning project to determine if a certain mushroom is edible or poisonous.

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novandikp/DecisionTreeC45

DecisionTreeC45 is a library for creating decision trees using the C4.5 algorithm.

Language: Python - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

BaghettiGH/Predict-F1-Podium

A streamlit app that predicts if the driver will finish on the podium

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bp0609/HAR-Human-Activity-Recognizer-Decision-Tree-Model

This is a robust and efficient ML model for recognizing various human activities such as walking, sitting, and running using accelerometer data.

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bp0609/Decision-Tree-Implementation-FROM-SCRATCH

This repo contains the decision tree implementation from scratch for all possible cases i) discrete features, discrete output; ii) discrete features, real output; iii) real features, discrete output; iv) real features, real output.

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galaxybomb23/Decision-Tree-Plus-Plus

Cpp implementation of the decision tree classifier discussed here (https://engineering.purdue.edu/kak/Tutorials/DecisionTreeClassifiers.pdf)

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HarshCasper/Brihaspati

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Language: Jupyter Notebook - Size: 140 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 77 - Forks: 29

farzanmrz/native-ml-algorithms

Native ML algorithms applied to diverse datasets, focusing on explaining core concepts. Includes scripts for PCA, regression, classification, and decision trees, achieving over 70% accuracy across evaluations.

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chaaalistaa/Catboost-Machine-Learning-for-Lifestyle-Prediction

Using machine learning techniques, namely supervised learning to predict the lifestyle of students by learning the features used and classifying based on the class, namely SES

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maulidyanurshafira/DigitalSkillFair_DataScience

Final Project of Digital Skill Fair by Dibimbing. The Decision Tree algorithm can be utilised for the classification of iris flowers into the Setosa, Versicolor, or Virginica species, based on the sepal width, sepal length, petal width, and petal length.

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SalunkheAbhijit18/PRODIGY_DS_03

Task 3 of the Prodigy infotech Data science internship

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Awuor-O/Machine_Learning_Analysis_of_Gaps_in_Africas_Global_Health_Crisis_Response

Predict the probabilities of H1N1 and seasonal flu vaccine uptake.

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Ali1raz/classification-algo-on-loan_data.csv-ML

Machine learning classification algorithms on loan_data.csv

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sermonzagoto/classification

Supervised Machine Learning Algorithms

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thaychansy/classification_and_hypothesis_testing

Classification and Hypothesis Testing Project supporting an EdTech startup, in identifying high-potential leads likely to convert into paid customers utilizing Decision Trees and Random Forest Machine Learning techniques.

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viviensiu/heart-failure-prediction

ML-zoomcamp 2024 midterm project: heart disease prediction

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bror13/Forecasting-Churn-of-Customers---Telecom

Machine learning project to predict customer churn for a telecom operator

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juanhuaco/sleep-disorder-prediction-models

Features Engineering and application of ML algorithms (KNN, GaussianNB, Decision Tree, Random Forest)

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chaitanyasai-2021/Loan-Approval-Prediction

The Loan Approval Prediction project used supervised learning with a Decision Tree Classifier for binary classification (loan approved or not), achieving 90% accuracy with interpretable predictions based on historical data.

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IsaacCheng9/machine-learning-in-chess

My final year project for the University of Exeter, using machine learning to study patterns in millions of chess games (~350 GB). Ranked 1st in the cohort for undergraduate projects (85%).

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simoswish02/Machine_Learning_Breast_Cancer

A comparison between different ML models working on breast cancer dataset

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nikhilkr31/bank-tele-marketing

Classifications of bank customers who make a term deposit after a telemarketing campaign

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manjuv03/Decision-Tree-Classifier

A Decision Tree model that predicts the value of a target variable inferred from the data features. A Tree can be seen as a piecewise constant approximation.

Language: Jupyter Notebook - Size: 530 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

farooqueesamiya/Social-Network-Ads-Classification-Models

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

Language: Python - Size: 50.8 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

isaqueiros/Iris-predictions-KNNClassifier_and_DecisionTree

This notebook demonstrates the basic application of two common machine learning algorithms, KNN and Decision Tree, for species classification using the classic Iris dataset. This is a beginner-friendly guide for understanding and applying basic classification techniques in Python using scikit-learn.

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Victor-Pavageau/EducationalProgramAI

Language: Python - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Gurpreet0022/Cardio-Tree-Classifier

Predicting Heart Disease using Decision Tree

Language: Python - Size: 77.1 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MiroKeimioniemi/classifying-software-pirates

Exploring the factors driving people into software piracy by training two machine learning models to predict whether a person with certain characteristics and sentiments is likely to possess any pirated software or not using a dataset collected via a survey targeting users of music production software.

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: 9 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

bibek36/Predicting-Employee-Attrition

This project focuses on predicting employee attrition using machine learning techniques. It analyzes factors influencing employee turnover, such as job satisfaction, work environment, and compensation. By leveraging data preprocessing, feature selection, and classification models, the project provides insights for retaining valuable talents.

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

EbadShabbir/Decision_Tree_Algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

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marktheo/bike-sharing-demand

Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

LinaYorda/predicting-crime-with-machine-learning

This project explores the applicability of various machine learning models to predict whether a crime was solved, based on a comprehensive dataset from the USA for the period 1980-2014.

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

princeKike27/Country-Religion-Classifier

Classifier to correctly identify the religion of a country given its geographical location, its area in square kilometers, its population in millions of people, its language and the characteristics of its flag

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AbdullahShiraz/AYUCARE

AYUCARE is a web application that provides a solution to detect diseases from symptoms and recommend Ayurvedic medicine using two machine learning models that are based on decision tree algorithms.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 11

Emna-chebbi/Iris-dataset

The iris dataset contains 4 features which i used to classify the flowers into one of the three species based on the measurements.

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jagadeeshm007/Credit_Card_Fraud_Detection

Credit Card Fraud Detection using ML

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NucleUS1234/Weather-Prediction

Predict tomorrow's rain using machine learning on Australian weather data. Explore, preprocess, and train models in a Jupyter notebook.

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

vignesh4005/Campus_Placement_Prediction

Objective of this project is to develop and evaluate predictive models to determine student placement status based on academic and extracurricular factors.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nikhil-singh1/Machine_Predictive_Maintenance_Classification

This project implements a machine learning model to predict failures in industrial machinery using a dataset with various operational features such as air temperature, process temperature, rotational speed, torque, and tool wear. The objective is to classify the machinery's status as No Failure or specific failure types.

Language: Jupyter Notebook - Size: 289 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Milanpeter-77/Competition-AXA-Data-Science-Challenge

AXA Data Science Challenge

Language: Python - Size: 2.9 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

virajbhutada/titanic-survival-prediction

ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

audrbar/ml-classification

Classification Methods in Machine Learning

Language: Python - Size: 1.63 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Zeraphim/Streamlit-Iris-Classification-Dashboard

A Streamlit web application that performs Exploratory Data Analysis (EDA), Data Preprocessing, and Supervised Machine Learning to classify Iris species from the Iris dataset (Setosa, Versicolor, and Virginica) using Decision Tree Classifier and Random Forest Regressor.

Language: Python - Size: 3.44 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

sauravkdubey/Diabetes_Prediction

Prediction of Diabetes using Decision Tree.

Language: Python - Size: 56.6 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

sfansaria/Stress_Sentiment_Detection_Model

Stress Detection Using Natural Language Processing

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

lauren-ihara/text-preprocessing-for-sentiment-analysis

This code is to illustrate text preprocessing, classification, and model evaluation for sentiment analysis.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

masumkhan081/machine-learning

Raw Coding Implementation Of Different Sorts Of Machine Learning Algorithms Without Using Library

Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

Language: Jupyter Notebook - Size: 23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

mahnoorsheikh16/Loan-Default-Prediction

Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

manarhamada564/Binary-income-classification

build a models that predicts whether an individual makes over $50,000 per year.

Language: Jupyter Notebook - Size: 5.01 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2

jatinnxn/Diabetes-Prediction

this repository showcases a machine learning model built to predict diabetes using Diabetes dataset. The project walks through data preprocessing, model training, and evaluation, offering a Decision Tree-based solution to classify individuals as diabetic or non-diabetic based on various health metrics. It also supports real-time predictions.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ahmedishraq/CSE422-Lab

CSE422 - Artificial Intelligence

Language: Jupyter Notebook - Size: 343 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 41 - Forks: 9

Analia7/diabetes-classification

Finding causal structure in the hyperparameters for training a digital twin that predicts whether a patient is diabetic or not, given a set of measurements.

Language: Python - Size: 238 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

walidbosso/R_Data_mining

Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees

Language: R - Size: 9.75 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

AyaFergany/Indian-Liver-Patients

Language: Jupyter Notebook - Size: 242 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JaewonSon37/Fundamentals_of_Data_Science1

Language: R - Size: 780 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

akbarhusnoo/Chronic-Kidney-Disease-Prediction

Using Supervised Machine Learning Techniques for Chronic Kidney Disease Detection

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 8

aranzadata/MegalinePlanRecommendation

Modelo de aprendizaje supervisado para la recomendación de planes de telefonía.

Language: Jupyter Notebook - Size: 174 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ajaykumarkushwaha/PRODIGY_DS_03

Task 3 of the Prodigy InfoTech Data Science Internship

Language: Jupyter Notebook - Size: 480 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

HourSecret/predict_music

This project uses a Decision Tree Classifier to recommend music genres based on user characteristics such as age and gender. The project demonstrates basic data preprocessing, model training, and saving the model for future use.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Srujana-Konga/Customer-Segmentation

This project segments customers based on purchasing behavior and demographics to enhance marketing strategies and improve customer satisfaction. A Decision Tree classifier is utilized to predict customer responses to marketing campaigns using various customer attributes.

Language: Jupyter Notebook - Size: 811 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ymorsi7/HateSpeechNLP

Detecting and analyzing hate speech on videos relating to sexism on a right-wing platform (NLTK, scikit-learn, pandas).

Language: CSS - Size: 8.39 MB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

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: 12 months 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: 7 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0