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
Practical ML model implementation using Ruby and Python
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
prediction of whether in-home team will win a match or not using logistic regression, SVM, random forest,etc. in R
Build Intelligent Applications - ML - University of Washington - Coursera
Coursework for Machine Learning (Spring 2017)
Applied ML algorithms on Income Data to find potential donors for charity
Exploration on text mining
Reproduction of Text Classification with SVMs paper
Text Classification project using Machine Learning
python scripts for analyzing gestures
datamining, dataset: (UCI) Detect Malacious Executable(AntiVirus) Data Set
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
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