Classification of Breast Cancer diagnosis Using Support Vector Machines
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Updated
Oct 15, 2022 - Jupyter Notebook
Classification of Breast Cancer diagnosis Using Support Vector Machines
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
Machine Learning Model to detect hidden malwares and phase changing malwares.It predicts the date of the next probable attack of the malware and its extent.It deals with the change in network traffic flow.It is developed in Python in Jupyter notebook.
Epileptic Seizure Recognition System, In this project wavelet transform and Hurst exponent are used as an input of SVM, LSTM , Random Forest Models.
a maching learning model to automating the detection of spam in emails
A series of notebooks on Support Vector Machine algorithm
Detecting vehicles on road using hog and svm [simplest approach].
In This Notebook I've build a Machine-Learning model that normalize region names in Damascus city, then I use it in Locator class.
In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.
Contains various Machine Learning projects in python (jupyter-notebook).
In this notebook I've build a nlp/machine learning model that classify hotel-reviews.
Classification of breast cancer diagnosis using Support Vector Machines in Python using Sklearn
Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.
Metode klasifikasi dan clustering menggunakan algoritma SVM dan FCM.
In this repository, I have displayed some of the datasets I've worked upon.
Jupyter notebook containing code used for my geologic project.
This is an introductory study notebook about Machine Learning witch includes basic concepts and examples using Linear Regression, Logistic Regression, NLP, SVM and others.
Helps you to classify the news of your choice into the category like sports, health, and so on. Used SVM Model to classify the news
Yet another machine learning notebook
Project created with use of jupyter notebook on HAR dataset. Focused on making decision.
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