npto04/random-forest-with-nlp 📦

Criação de modelo de classificação capaz de identificar documentos como petições iniciais com base de treinamento em dados do CRETA

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sotheanithsok/CECS-551-Collection 📦

Explore machine learning models and optimization techniques.

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UtsavMurarka/MXene-machine-learning

Classification of MXenes into metals and non-metals based on physical properties

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Abdullahw72/Recognizing-Hand-written-digits-by-scikit-learn

Recognizing-Hand-written-digits-by-scikit-learn

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digvijaytaunk/aps-fault-detection-with-deployment

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dblabs-mcgill-mila/machine_learning_with_sklearn

Explore and understand the Machine Learning concepts through the prism of sklearn, one notebook at a time.

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SupernovaSatsangi23/Modifying-Biomarker-Gene-Identification-For-Effective-Cancer-Categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

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Nadia-JSch/scatter-plot-iris-dataset

Permutations of sepal length, sepal width, petal length and petal width from the 3 classes of Iris on a scatter plot

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RafaBragagd/Python-Code-Testing

Repositório de códigos de teste do Python feito por Rafael da Silva Braga

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Anjali848/Solve-a-Mystery-in-History-Hamilton-or-Madison-

This code was submitted as part of the IST 707 (Applied Machine Learning) Homework assignment. In this homework assignment, you are going to use clustering methods to solve a mystery in history: who wrote the disputed essays, Hamilton or Madison?

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dassujan/Breast_Cancer_Detection

🎗️ I have completed this Machine learning Project successfully with 98.24% accuracy which is great for this project. Now, I'm ready to deploy our ML model in the healthcare project. To get more accuracy, I trained all supervised classification algorithms. After training all algorithms, I found that Logistic Regression, Random Forest and XGBoost classifiers are given high accuracy than remain but we have chosen XGBoost.

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marama09/Regression-Project-T5

Mobile Price Prediction

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breadrock1/ML-labs

Machine Learning. There is a suite of Machine Learning laboratory tasks.

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benjaminweymouth/machine_learning_Risky_Business

Machine Learning Examples: this repo is to show proficiency in building and evaluating several machine learning models to predict credit risk

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ignatius-mbugua/doctor-drug-prescription-system

A web app that assists doctors in prescribing right medicine to patients in order to avoid drug side effects

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PedroSiqueira1/PrevisaoPrecoImoveis

Projeto realizado para a matéria de Introdução ao Aprendizado de Máquina, onde foi feito um modelo regressor utilizando algoritmos de Machine Learning com a biblioteca Scikit-Learn em Python.

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PedroSiqueira1/Aprovacao-de-Credito-ML

Projeto realizado para a matéria de Introdução ao Aprendizado de Máquina, onde foi feito um modelo classificador utilizando algoritmos de Machine Learning com a biblioteca Scikit-Learn em Python.

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RegaipKURT/ScikitLearnWithFUN

This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.

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ignatius-mbugua/medical-drug-prescription-prediction

A web app that assists patients in diagnosing their illnesses

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aadityasivaS/scikit-learn

A jupyter notebook which trains a model with scikit-learn

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R1-R0-R0/img-recognition

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KrishnaManmayi/Healthyfy

Analyzing the most affecting factors that deteriorate the health of a person and predicting the risk of developing dreadful diseases using Machine Learning.

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Lawrence-Krukrubo/Machine_Learning

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

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RafeyIqbalRahman/Data-Scaling-Techniques

This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.

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tayyabmughal676/MachineLearningUsingSciKitLearn

Machine learning using sci kit learn

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architadesai/scikit-learn-projects

Scikit-learn (sklearn) projects in form of Jupyter Notebooks

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nikhil-chigali/Hands-On_ML

Code samples for the machine learning algorithms that are explained in the book, "Hands-on Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems"

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RespectKnowledge/Machine-Learning-Tutorials

Machine Learning Tutorials

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yogi0421/Hands-on-Tensorflow-and-Scikitlearn-2nd-Edition-eBook

Hands on Tensorflow and Scikitlearn 2nd Edition eBook

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