Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
#计算机科学#Fast Best-Subset Selection Library
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaus...
pca: A Python Package for Principal Component Analysis.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
#自然语言处理#Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem emplo...
The foundational library of the Morpheus data science framework
#计算机科学#Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Robust PCA implementation and examples (Matlab)
#计算机科学#Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
#计算机科学#This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
#自然语言处理#✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
#计算机科学#Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
Randomized Matrix Decompositions using R
#计算机科学#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 articl...
#人脸识别#A MATLAB toolbox for classifier: Version 1.0.7
Explorative multivariate statistics in Python