Repo for machine learning classes

A series of Online Courses Offered by deeplearning.ai on Coursera.

Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation

In this project, we use differents methods to transform our dataset (usually dimension modification) before making prediction thanks to machine learning and regressions.

In this project we will build multiple CNN models for CIFAR-10 Image Classification

The purpose of this study is to visualise and see how changing the regularisation constant affects svm classification. SVM with linear kernel has been used.

Jacobian regularisation for neural networks (PyTorch) and hyperparameter tuning with Skorch

Various regularized regression models for predicting car prices, using web scraped data

A model to classify images of waste products as Organic or Recyclable. Applied Image Augmentation to images and used basic CNN to classify images using Keras. Analysed the performance using Tensorboard. Detected over fitting using metric curves (accuracy) and addressed it using Dropout Regularization.

Predicting whether two persons meeting in a speed dating event get matched using deep learning methods

The use case is an application of the regularization technique such as Ridge and Lasso for building a linear regression model for housing price prediction.

a small machine learning theory practice.

The goal of this project is to develop and test two text classification systems: Task 1: sentiment analysis, in particular to predict the sentiment of movie review, i.e. positive or negative (binary classification). Task 2: topic classification, to predict whether a news article is about International issues, Sports or Business (multiclass class…

Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R

GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga

Horseshoe regression model fitted in PyMC.

Multivariate Polynomial Regression using gradient descent with regularisation

Mixed Integer Piecewise Regression Algorithm with Regularisation