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

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

Statistical regularization

Overview of statistical learning methods for classification

Fake Job Predictions using Topic Modeling and Classification

Create a Deep Neural Network from Scratch using Python3.

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

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?

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.

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

Tutorial on VAR models + regularization

A CNN model to identify images of plant seedlings.

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

Aula teste Insper sobre Regularização

“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.

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.

Regularization Models Implemented in R