Materiales de las clases prácticas de AID y Aprendizaje Automático
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Updated
Jun 3, 2024 - HTML
Materiales de las clases prácticas de AID y Aprendizaje Automático
All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
This project explores the use of classification algorithms in predicting patient drug use.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Predict the energy consumed by appliances using custom-coded Machine Learning models and Algorithms like PCA, Neural Networks, Lasso, Ridge, and Linear Regression.
This project uses machine learning to predict diabetes and provides explanations through SHAP and PCA, displayed in an intuitive user interface.
This is a remake of my Capstone Project on Image Classification using Scikit-learn and TensorFlow. I initially completed this project as a part of my Data Science diploma studies at Brainstation in June 2023.
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
AIML Projects
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Virtual Orientation Tool FIJI (VOTj) : A Fiji plugin for object centering and alignment
Object recognition and 6 DoF pose estimation.
📊 Computation and processing of models' parameters
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