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

Overview of statistical learning methods for classification

Statistical regularization

Fake Job Predictions using Topic Modeling and Classification

Sports Analytics in Python

Create a Deep Neural Network from Scratch using Python3.

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

(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 CNN model to identify images of plant seedlings.

Regularization Models Implemented in R

Tutorial on VAR models + regularization

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

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

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.

“ReneWind” is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors.