Machine Learning project - CMP2024 - Computer Engineering - Cairo University
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Updated
May 23, 2024 - Jupyter Notebook
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
Implementing bias-variance-noise decomposition on binary data from Gaussian distributions. Create functions for noise, bias, and variance computation, leveraging Bayes' rule, ridge regression, and model averaging. Aim to visualize error changes with regularization.
Generalized Ridge Trace Plots for Ridge Regression
IMP KEYS OF ML MODEL
The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
A short introduction to bias and variance with an interactive example
Repo to store all the concepts and codes that I have learned and worked on in the Machine Learning field
A document covering machine learning basics. 🤖📊
Explored Machine Learning regression models of varying flexibility and how flexibility relates to MSE, Bias, and Variance in our predictions for MATH 4377: Math of Machine Learning. Visualizations of the Bias-Variance trade-off are included, and the project heavily relied on Spline Regression degrees of freedom for flexibility measuring.
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Spring 2021 Machine Learning (CS 181) Homework 2
Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
Academic projects carried out as part of the Introduction to Machine Learning course from the master in Data Science, ULiège.
This repo contains projects and assignments from my Data Science + Machine learning courses.
Comparing Three Penalized Least Squares Estimators: LASSO,SCAD and MCP.
Practice from My Machine Learning Certificate from Cornell
A Mathematical Intuition behind Logistic Regression Algorithm
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