Python programming labs done throughout the course CSC406 - Artificial Intelligence
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Updated
Jul 4, 2024 - Jupyter Notebook
Python programming labs done throughout the course CSC406 - Artificial Intelligence
High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
This library gives a modular design for better control of gradient passing between architecture components. Useful for architectures not using a traditional forward and backward pass.
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
Time-to-event methods for agriculture
Ceres.js is a javascript port of the Ceres solver. Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. It is a mature, feature rich, and performant library.
Builder a nonlinear regression model for estimating the size of some software
Household-Power-Consumption Machine Learning Project
Python code to determine the best method for modeling a non‑linear relationship between OLS, SVR, XGBoost, and SGDRegressor
OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.
Explore linear regression models for predicting university admissions and implement a non-linear Radial Basis Function (RBF) regression model for image inpainting.
Linear / non-linear regression problem and their comparison and Convolutional Neural Network, Feed Forward Neural Network and their accuracy measurement.
Graduation Final Project on electrical engineering (PUC-Rio)
Predicting concrete compressive strength using GAM regression.
Statistics for Data Science Assignment
High order methods and non-linear regression solution.
codes for solving minima and least squares fit problems
Machine Learning project. Implementation of different linear and non linear regression and finding out which one is best for us
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
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