The accuracy and evaluation of both the KNN and SVM model, on the Tunisian real estate website: tunisieimmobilier.com
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Updated
Mar 2, 2023 - Jupyter Notebook
The accuracy and evaluation of both the KNN and SVM model, on the Tunisian real estate website: tunisieimmobilier.com
contains implementations from linear regression to SVM and neural networks
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.
Learning to play Connect4 and TicTacToe players using basic machine learning and AI algorithms
Framework to train and test ML models.
prediction of whether in-home team will win a match or not using logistic regression, SVM, random forest,etc. in R
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Implementation and comparison of SVM and LeNet5 on MNIST
Implement machine learning classification of accelerometers data on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which people perform the exercise.
Code for Information Retrieval project @ University of Milan
Some scripts for dataset exploration, normalization and classification using Python, PyBrain, SciPy
Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation
Course Assignments of CS771 IIT Kanpur.
[CSE4007] 2019-2 'Artificial Intelligence' Course at Hanyang University, ERICA
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