Thanks to visit codestin.com
Credit goes to github.com

beadm98 / ML4all Public

forked from ML4DS/ML4all

Introductory Notebooks on Machine Learning topics.

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 177 Commits
A1.Optimization		A1.Optimization
C1.Intro_Classification		C1.Intro_Classification
C2.kNN_Classification		C2.kNN_Classification
C3.Classification_LogReg		C3.Classification_LogReg
C4.Classification_SVM		C4.Classification_SVM
C5.Classification_NN		C5.Classification_NN
C_lab1 Clasificacion		C_lab1 Clasificacion
E_lab1_Estimation		E_lab1_Estimation
P0.Probability_Theory		P0.Probability_Theory
P1.Python_intro		P1.Python_intro
P2.Numpy		P2.Numpy
P3.Python_datos		P3.Python_datos
P4.MLLib_DataTypes		P4.MLLib_DataTypes
P5.Data preprocessing		P5.Data preprocessing
R1.Intro_Regression		R1.Intro_Regression
R2.kNN_Regression		R2.kNN_Regression
R3.Least_Squares		R3.Least_Squares
R4.ML_Regression		R4.ML_Regression
R5.Bayesian_Regression		R5.Bayesian_Regression
R6.Gaussian_Processes		R6.Gaussian_Processes
R7.Regression_Overview		R7.Regression_Overview
R_lab1_Bay_GP_Regresion_v_py2		R_lab1_Bay_GP_Regresion_v_py2
R_lab1_ML_Bay_Regresion		R_lab1_ML_Bay_Regresion
R_lab2_GP		R_lab2_GP
TM1.IntrodNLP		TM1.IntrodNLP
TM2.Topic_Models		TM2.Topic_Models
TM3.Topic_Models_with_MLlib		TM3.Topic_Models_with_MLlib
TM4.DTUCourse		TM4.DTUCourse
U1.KMeans		U1.KMeans
U2.SpectralClustering		U2.SpectralClustering
U3.PCA		U3.PCA
U_lab1.Clustering		U_lab1.Clustering
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
generate-student.py		generate-student.py