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SaraKarim23

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I have tried to solve a particular datasets where I have age and income of different people. And then clustering these datasets into different groups what we will try to find out is some characteristics of these groups

SaraBinteKarim

JavaScript

Text-Classification-Using-Naive-Bayes-Algorithm-In-Machine-Learning

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Roots-polynomial-using-the-Newton-method

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senorita-s_in

Java

Image-Classifier-Neural-Net-CNN-using-CIFAR-10-Dataset-

Image Classifier Neural Net with Google Colab - CNN

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Breast-Cancer-Wisconsin-Diagnostic-with-SSL-models

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-Pima-Indians-Diabetes-using-Decision-Tree-Algorithm-

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Probability_Checking-using-Naive-Bayes-Algorithm-

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Linear_Regression-with-CoLaB

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Train-and-Evaluate-a-Classification-Model-in-Machine-Learning

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COVID-19_Severity_Classification_

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Exploratory-Data-Analysis-EDA-in-Autism_prediction

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zero_byte

HTML

Classification-of-Exoplantes-using-classical-machine-learning-techniques

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NASA_Space_App_Challenge_2023

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GFPGAN_inference

GFPGAN is a blind face restoration algorithm towards real-world face images. It leverages the generative face prior in a pre-trained GAN to restore realistic faces while precerving fidelity.

Jupyter Notebook

SVM-to-Classify-the-samples-are-Benign-or-Malignant-regarding-Breast-Cancer

I have used SVM to build and train a model using human cell records, and classify cells to whether the samples are Benign (mild state) or Malignant (evil state).

Jupyter Notebook

SaraKarim23/K-means-Clustering-in-Dataset-to-find-the-characteristics-of-groups

SaraKarim23

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