Notebooks and exercises about machine learning and deep learning
-
Updated
Dec 5, 2021 - Jupyter Notebook
Notebooks and exercises about machine learning and deep learning
The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support …
Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository
This repository contains mini project in machine learning with notebook files
Jupyter notebooks implementing Machine Learning algorithms in Scikit-learn and Python
A list of python notebooks for Machine learning basics- regression and classification.
A Jupyter notebook with an implementation and explanation of the Schlesinger-Kozinec algorithm for finding optimal separating hyperplanes.
The analysis in the notebook is focused on the effects image augmentation has on various models and loss types.
This Notebook kernel deals with a dataset from 2017 of three 3 MW windturbines. It covers an EDA and Data Visualization of the Turbine and and the comparison of different regression Models including Decision Tree, Random Forrest, Support Vector Machine and ANN.
Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, …
Add a description, image, and links to the support-vector-machine topic page so that developers can more easily learn about it.
To associate your repository with the support-vector-machine topic, visit your repo's landing page and select "manage topics."