Télécom Paris: Computer Labs (2018/2019)

This repository contains some computer labs I had during my second year at Télécom Paris (equivalent to the first year of an MSc). The authors of each lab are mentioned in the subject and/or the submission I wrote (most of the time alone, sometimes with another student). Most of the labs take the form of a notebook or a Python file, but some labs use MATLAB.

As it takes time to check and make everything readable for everyone, I have not necessarily cleaned the notebooks I did not finish then (but maybe someday I will, to make this repository consistent). Hence, for some rare cases, the subject is written in French. For some other cases (e.g. the last labs of Graph Mining), the notebooks may be incomplete, but it is rare as well.

Course	Homework
Databases	Finding keys using functional dependencies
	DB normalization and querying
	Views, updates and design
Linear Models	Linear Regression
	Methods for OLS
Optimization for Machine Learning	Nonnegative Matrix Factorization
	Support Vector Machines (SVM)
Machine Learning	Support Vector Machines (SVM)
	Neural Network
	Random Forest
Advanced Statistics	Spline Regression
	Wavelet Denoising
Graph Mining	Sampling nodes and edges
	Graph Models
	Graph Structure
	PageRank
	Clustering
	Hierarchical Clustering
	Graph Embedding
Natural Language Processing	Naive Bayes
	Hidden Markov Models (HMM)
	Recurrent Neural Networks (RNN)
Object Recognition	Unsupervised Learning
	Supervised Learning
	Skin Lesion Classification
	Random Forest
	Multi-Layer Perceptron (MLP)
	Convolutional Neural Networks (CNN)