Learning to play Connect4 and TicTacToe players using basic machine learning and AI algorithms
-
Updated
Sep 21, 2017 - C++
Learning to play Connect4 and TicTacToe players using basic machine learning and AI algorithms
The purpose of this study is to visualise and see how changing the regularisation constant affects svm classification. SVM with linear kernel has been used.
Framework to train and test ML models.
In this repository we compare multiple machine learning algorithms for binary classification.
Applied different models of machine learning (SVM, Logistic Regression, Deep Learning) to classify whether an object is an exoplanet.
Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation
NLP Course project. Applied NaieveBayes and SVM Models.
Implementation and comparison of SVM and LeNet5 on MNIST
python scripts for analyzing gestures
Some scripts for dataset exploration, normalization and classification using Python, PyBrain, SciPy
This repository contains the edited code files and the corresponding data-set for the projects available at: https://github.com/hal3/ciml
Performance Analysis of Multiple Classifiers using different Term Weighting Schemes for Sentiment Analysis
Course Assignments of CS771 IIT Kanpur.
Code for Information Retrieval project @ University of Milan
2021 Winter AMATH482 High Performance Computation @ UW
Support Vector Machine using Python
Implementation to generate a model to predict the reliability of a loan to a customer using Statistical and Machine Learning classification techniques with Python, such as K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine (SVM) and Logistic Regression. The bests weight parameters will be found according influence of Customer Loan Ph…
SciKit Learn's Support Vector Machine and Logisitic Regression models were used to determine the mutation given a set of values for the different genes
Exercices course of machine learning https://www.coursera.org/learn/machine-learning
To associate your repository with the svm topic, visit your repo's landing page and select "manage topics."