Szymon-Czuszek/Machine-Learning-Algorithms

In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.

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VivekSagarSingh/Probability-of-Credit-card-Default

Classification problem using multiple ML Algorithms

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rahulvictor12/German-Bank-Loan-Defaulter-Prediction

A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.

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FreeBirdsCrew/Real-Time_Face_Recognition

Real Time Face Recognition with Python and OpenCV2, Create Your Own Dataset and Recognize that. #FreeBirdsCrew

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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.

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RachitaGurudev/Election-Exit-Poll-Prediction

News channel CNBE wants to analyze recent elections. This survey was conducted on 1525 voters with 9 variables. Model is built to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party.

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thirt33n/Grindwall

ML Based Firewall System

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Kenner82/Credit_Risk_Analysis

Testing 6 different machine learning models to determine which is best at predicting credit risk.

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trevortnguyen/Customer-Segmentation-Classification

Classifying customers into segments

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luuisotorres/Credit-Card-Fraud-Detection

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

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luuisotorres/EDA-and-Employee-Attrition-Prediction

Exploratory data analysis and machine learning classification models to predict employee attrition.

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Abir0810/Countries-Condition-Trees-percentage-and-forestation-using-Machine-Learing

This is about machine learning model where there are many algorithms is using to find out best accuracy.

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vasatodorovic/ToxicityOfMolecules

Project on course "Data Mining 2"

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

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yasinsametkaraca/breast-cancer-classification

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cbrito3/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

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Jayveersinh-Raj/ML_algorithms_from_scratch

This repository contains some Machine learning algorithms from scratch to better understand how they work, and are implemented under the hood.

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pbrebner/text-classifier-with-scikit-learn

Classification of IMDB Reviews dataset and News Group dataset using Logistic Regression, Decision Trees, Support Vector Machines, Ada Boost and Random Forest. Methods and Accuracy of each model were compared and reported

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bhataparnak/Machine-Learning-Projects

Various Machine learning algorithms

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matsuch/Capstone-Project-Starbucks

This project is part of the Capstone Project from the Data Science Nanodegree Program by Udacity in collaboration with Starbucks

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Zauverer/Test-Crime-Analisys

Boston Crime Analisys test.

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shourya1997/finding_donors

In this project, we will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.

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henriqueal/predicting-internet-broadband-errors

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