Códigos referentes a distintos proyectos realizados en el software estadístico R
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Updated
Dec 24, 2018 - R
Códigos referentes a distintos proyectos realizados en el software estadístico R
Repository of my Homework for the course "Machine Learning and Artificial Intelligence" of Prof. Barbara Caputo (a.y. 2018/2019)
SVM classifier using PEGASOS algorithm.
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
SVM implementation for Binary and Multiclass classification using standard SVM library and Convex optimastion method
Naive implementation of artificial neural networks for data classification using SVM and MLP in python
SVM (Use of SVM Kernels on formed and real data using object-oriented programming)
Using scikit-learn and mlxtend
It consists of base machine learning algorithms and applied mathematics has Involved
Bayesian approach for combined Particle Identification
As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.
As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms
SVM algorithm in Python with classification. The goal of this project is to predict whether the customer will purchase a car(1) or not(0).
A basic project to build the classification model with SVM (Support Vector Machine)
Machine Learning
Handwritten Digit Recognition Model
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