regularization

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

Overview of statistical learning methods for classification

Statistical regularization

Fake Job Predictions using Topic Modeling and Classification

Sports Analytics in R (Regularization and DecisionTree based approaches for Regression problems)

Create a Deep Neural Network from Scratch using Python3.

Sports Analytics in Python

(Work in progress) Repository for some machine learning procedures used in multiple scenarios.

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

A simple machine learning python library.

Results from empirical assessment of LASSO CV, ElasicNetCV, and RidgeCV from scikit-learn

Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..

Model Tuning: Collaborated with "ReneWind," a company focused on enhancing wind energy production through machine learning. Analyzed sensor data on turbine generator failures, developed and tuned various classification models, and evaluated their performance to select the most accurate one for predicting failures and minimizing maintenance costs.

A CNN model to identify images of plant seedlings.

Tutorial on VAR models + regularization

Regularization Models Implemented in R

Final Group Project for Advanced Data Science for Public Policy @ McCourt

Aula teste Insper sobre Regularização

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.