GitHub topics: underfitting-overfitting
Nirva-Patel/Multi-Domain-Predictive-Analytics
This project focuses on training and testing machine learning models on multiple datasets to identify the best-performing model. It analyzes model behavior across data types using metrics like accuracy, precision, recall, and F1-score to determine the most effective configuration.
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mohamedasad10/NeuralNetworks
I implemented a neural network🔗for classification, focusing on forward propagation, backpropagation, and optimization. I tested the model on datasets like noisy moons and blobs to explore concepts such as overfitting, underfitting, and multi-class classification.
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JonatasFontele/machine-learning-lead-dell
Machine Learning codes approaching models, clustering, underfitting, overfitting and neural networks.
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KavindaBandara321/Model-overfitting-and-Underfitting
Overfitting is often caused by using a model with too many parameters or if the model is too powerful for the given dataset. On the other hand, underfitting is often caused by the model with too few parameters or by using a model that is not powerful enough for the given dataset. In this we are discussing about that.
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gabboraron/Intro_to_Machine_Learning-Kaggle
kaggle course about machine learning basics
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MathCortes/Projeto8-Iris-ML_Classification
Base Iris traz informações sobre algumas dimensões e partes de diferentes flores. Baseado nessas dimensões podemos prever qual tipo de flor estamos tratando!
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fabiogaiera/machine-learning-glossary
Machine Learning Concepts
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AvichalS/House-Pricing-Model
Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.
Language: Python - Size: 257 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Akash1070/Machine-Learning-
Learning Machine Learning Through Data
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NeerajHazarika/kaggle-intro-to-deeplearning
This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.
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SherylPhilip/Course-4---Machine-Learning---Intro-and-Intermediate
This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from kaggle.
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subhayuroy/Melbourne_HousingAnalysis
Predicting the price of any 🏚house🏡 in Melbourne, Australia🌏by tracing through the decision tree🌳, always picking the path corresponding to that house's characteristics🏘. The predicted price💰 for the house is at the bottom of the tree. The point at the bottom where we make a prediction is called a leaf🍀
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hooshvare/tt-ml-dl
پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
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