meenakshyyy/Customer-Churn-Telecom

This project focuses on developing a machine learning-based model to predict customer churn in the telecom industry. By leveraging data-driven insights, this model helps identify customers at risk of leaving, enabling telecom providers to take proactive measures to retain them.

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Galaktikkon/FAI Fork of apohllo/sztuczna-inteligencja

Fundamentals of Artificial Intelligence course exercises @ AGH University of Krakow

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tasneem-badar/Market-Trend-Analysis-and-Price-Prediction-on-Used-Cars

Market Trend Analysis and Price Prediction on Used Cars - A machine learning project for analyzing market trends and predicting car prices.

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Baroka-wp/decision_io

Cette app t'aide à prendre n'importe quel decision

Language: JavaScript - Size: 587 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dms-codes/decision-tree-drugs

Decision Tree Classifier with Grid Search and Visualization

Language: Python - Size: 118 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

MatejMistik/bachelors-fear-factor

Bachelor Gameplay demo with use of advanced interaction with AI

Language: C# - Size: 495 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

RubaiyadNoorShahriar1999/Wine-Quality-Testing--Machine-Learning

Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine

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tventuraz/RedeUMV

Projeto Black Hat: A Engenharia Reversa Teórica de um Segredo de Estado

Size: 544 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

grascya/Breast-Cancer-Detection

Build classification models to predict whether the cancer type is Malignant or Benign.

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felipenufisnor/machine_learning_sklearn

Machine Learning: Classification with SKLearn

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BhaveshxPurohit/Analyzing-NYC-Green-Taxi-Trips

Analyzing NYC Green Taxi data (Jan 2022-Jan 2023) to enhance service coverage using ML. Aims: 1) Predict fares with a regression model using trip data. 2) Locate profitable pickups with a clustering model for driver earnings optimization.

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AvishekSah6146/Stock-Price-Predictor-using-Machine-Learning

Done a comparative study between machine learning and deep learning algorithms to closely predict the close price of the stocks.

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Lando-momo/SURGICAL-OPERATIONS-PREDICTION

In the context of the project "SURGICAL-OPERATIONS-PREDICTION," we've been performing various data analysis and modeling tasks. This includes data preprocessing such as selecting specific columns ('T - 28' to 'T - 1'), computing statistics like mean, maximum, and standard deviation, and possibly visualizing data distributions.

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RaimbekovA/bank-card-fraud-detection-using-machine-learning

Bank card fraud detection using machine learning. Web application using Streamlit framework

Language: Python - Size: 41.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 5

lcswnn/ML-Stock-Prediction-Models

Predicting market stock prices using various Machine Learning models. Data trained and tested up until 2017. Data found of Kaggle.

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sgrodriguez/ddt

Golang Dynamic Decision Tree

Language: Go - Size: 401 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 35 - Forks: 4

sayande01/Fake_News_Prediction_Machine_Learning

This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.

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sayande01/Employee_Churn_Prediction_Machine_Learning

Leveraging ColumnTransformer, pipelines, standardization, and encoding, we'll preprocess data. Using Logistic Regression, Decision Trees, Random Forest, and XGBoost, we'll analyze factors like job satisfaction, promotion, and salary to predict churn. This helps companies improve satisfaction, reduce turnover, and enhance stability.

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Tamerkobba/NEO-Hazard-Classification-with-Python

Simple Project Using NASA dataset to classify objects near earth as hazardous or non-hazardous

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Rindhujatreesa/Machine_Learning_Projects

This repository consists of ML projects including data modeling, clustering, classification, and dimensionality reduction models

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manishsingh7163/Machine-Learning-Algorithms

Machine Learning Algorithms uses LATEX for Documentation

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Sarvandani/ML_classifications-Sarcasm_detection

Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees

Language: Python - Size: 1.79 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sarvandani/Machine_learning_11_algorithms_of_Classification

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tezzytezzy/caravan-insurance-policy

Random Forest Classification

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unnatibshah/Decision-Trees-as-Interpretable-Models

Create a decision tree, plot it, convert the rules into IF-THEN format, and utilize cost-complexity pruning for minimal tree and interpretable rules.

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kapilbhise/ml-lab

Machine learning algorithms

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sdjbabin/Flight-Price-Prediction

"Flight Price Prediction: GitHub repo for ML-based airline ticket price forecasting. Collect, preprocess data, train models, deploy, and evaluate. Open-source under MIT License."

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Sunil-ai-007/pumkin-seed-classification

Predictive Analytics Practice: Random Forest, K-NN, SVM, Regression, Logistic Regression

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ash-0521/Ensuring-Smiles-using-Spark-ML

The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)

Language: Python - Size: 15.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NifulIslam/DTization

A new method of supervised feature scaling using decision tree

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

hxu47/Decision-Tree-from-Scratch

Implementation of decision trees for classification and regression as objects similar to sklearn's.

Language: Python - Size: 718 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

vigdisha/Australia_rainfall_prediction

Using the Rain in australia dataset for rainfall perdiction

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srikanth2102/DIABETES-DIAGNOSIS

In this project we predict whether a person has diabetes or not.

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srikanth2102/Predict-the-house-prices-in-India

In this project we solve the challenge posted on Kaggle to predict the price of house. In this project we make of models like linear regression, gradient boosting, random forest and decision tree.

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Puneet2000/ML-Algorithms

Machine learning algorithms from scratch in python.

Language: Python - Size: 813 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

pillowTree3/Kannada-MNIST-Classification-Problem

Project for Kannada digits recognition using Kannada-MNIST dataset. Employ PCA for dimensionality reduction to 10 components, and apply Decision Trees, Random Forest, Naive Bayes, K-NN Classifier, and SVM for prediction. Evaluate models using Precision, Recall, F1-Score, Confusion Matrix, and RoC-AUC curve.

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moon1863/HW-Data-Science

Machine learning course homework

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svijay22-cmd/BCG-Data-Science-and-Analytics-Internship

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subhranil2605/Machine-Learning

Machine Learning Algorithm Implementation from Scratch using Pyhon

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sainikhilp/Telco_Customer_Churn_Prediction

This project aims at predicting whether a customer will continue with the Telco Service group or not. The data was analyzed and trained using decision trees and random forests algorithm

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SarCode/ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

Language: Python - Size: 3.86 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Azeved00/cpp-decision-tree

Decision Tree C4.5 Algorithm in C++ only using STL

Language: C++ - Size: 3.66 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

rikzyj/CM2604_ML_CW

Email Spam detection using KNN and Decision Trees Models Trained using the Spambase database

Language: Python - Size: 63.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

silwindo/Milling-Machine-Failure-Prediction

Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost

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mohansaidinesh/oibsip_task1

Oasis Infobyte Internship Data Science task-1

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Sarah-Hesham-2022/USVotingDataset-Decision-Tree-Model

Machine Learning Model using Decision Trees on US Voting Dataset

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Ashleshk/Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

Language: Python - Size: 31 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 34

tejal04/Machine-Learning-Practice

Implemented Traditional ML models for Regression and Classification using sklearn.

Language: Python - Size: 36.1 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

mukund-ks/Fake-News-Detection

A Machine Learning Project to detect Fake News using Python, making use of Logistic Regression and Decision Trees.

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chawla201/Airplane-Accident-Severity-Prediction

Ensemble Learning | Flask

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tiwari-adarsh0830/GRIP-SPARKS-FOUNDATION-JULY2022

This repository contains several task given by the Sparks Foundation under Graduate Research Internship Program July2022

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ozanmujde/DecisionTree

Decision Tree implementation without any library on Iris dataset

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magdi74/COVID-19-OUTCOME-PREDICTION

Identify whether a person is going to recover from coronavirus and its done using ML classifiers from Sklearn

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imane-ayouni/California-Housing-Price-Predictions

Regression algorithms to predict the median house prices in California districts

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steciuk/PSZT-ID3-algortihm

Classification of mushrooms using decision tree in ID3 implementation

Language: Python - Size: 391 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

dD2405/Detecting_Malicious_Websites

Language: Python - Size: 700 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

sujoyyyy/Machine-Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

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charan89/Telecom-Churn

Sorting out major features affecting churning of telecom customers

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Aujasvi-Moudgil/Machine-Learning

Different Machine Learning Concepts and Models

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ProdioDesignWorks/DecisionTree

NodeJS Implementation of Decision Tree using ID3 Algorithm

Language: JavaScript - Size: 412 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kush1912/Phocket---ML-Internship

This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System

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mwaghela92/DataMining

Final project for IEE 520 Stat learning for data mining. Highly imbalanced data set. Sampling methods used.

Language: Python - Size: 1.46 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

likarajo/decision_tree

Implementation of decision tree

Language: Python - Size: 2.82 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

itsfk/Machine-Learning-Python

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0