pca

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

R package for High dimensional data analysis and integration with O2PLS!

FDDC2018金融算法挑战赛01 - A股上市公司季度营收预测 比赛笔记

A formula interface for model-first PCA; PCA for the people!

Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

Python Machine Learning 机器学习

PCA and Gaussian Mixture Model Clustering to uncover hidden segments in customer purchase data.

Data Science Project with Python to analyze and discover insights of the detailed attributes of each player registered in the latest edition of FIFA 19 database.

Determine a seedling Species from an image based on Kaggle Competition

Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr

Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦

Visualizations of common NLP tasks

Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)

GeoInterpolation methods

Identifying customer segments for mail-orders company and performing a comparison with the general population

A Hearthstone Card visualizer in 3D with the help of Tensorboard using PCA or t-SNE

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

Easy-to-use collection of statistical methods and techniques, all written in R 🗂