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SaraBinteKarim
Text-Classification-Using-Naive-Bayes-Algorithm-In-Machine-Learning
Roots-polynomial-using-the-Newton-method
senorita-s_in
Image-Classifier-Neural-Net-CNN-using-CIFAR-10-Dataset-
Image Classifier Neural Net with Google Colab - CNNBreast-Cancer-Wisconsin-Diagnostic-with-SSL-models
-Pima-Indians-Diabetes-using-Decision-Tree-Algorithm-
Probability_Checking-using-Naive-Bayes-Algorithm-
Linear_Regression-with-CoLaB
COVID-19_Severity_Classification_
Exploratory-Data-Analysis-EDA-in-Autism_prediction
zero_byte
Classification-of-Exoplantes-using-classical-machine-learning-techniques
NASA_Space_App_Challenge_2023
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.K-means-Clustering-in-Dataset-to-find-the-characteristics-of-groups
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 groupsSVM-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).Love Open Source and this site? Check out how you can help us