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Here are 6 public repositories matching this topic...

RyanRana / The-Simplest-Guide-to-Machine-Learning-Models.

8 Articles and Project Builds to learn Machine Learning Models.

random-forest jetbrains linear-regression naive-bayes-classifier neural-networks learn logistic-regression svm-model ghdesktop student-vscode descion-tree

Updated Jan 29, 2024

yessasvini23 / IBM_Data_Science_-Capstone-Project-Wining-Space-Race.ipnyb

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IBM Data Science Capstone Project from Coursera

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Updated Apr 13, 2024
Jupyter Notebook

pranav-bot / ML-DL-models-from-scratch

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This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

machine-learning reinforcement-learning qlearning deep-learning random-forest numpy svm naive-bayes linear-regression regression pytorch neural-networks logistic-regression perceptron support-vector-machines from-scratch descion-tree

Updated Mar 6, 2024
Java

gehad-Ahmed30 / Loan-Approval-Classification

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This project focuses on analyzing and classifying loan applications using the Credit Risk dataset. It applies data analysis and machine learning techniques and deep learning to predict loan approval based on applicants' financial factors.

machine-learning deep-learning pipeline random-forest svm logistic-regression ann gridsearchcv xgboost-classifier descion-tree