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34 search results found
Deeplearning 500 Questions
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52,013
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系
[email protected]
版权所有,违权必究 Tan 2018.06
Dimensionality_reduction_alo_codes
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1,949
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Multivariatestats.jl
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359
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Facerecognition
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190
Implement face recognition using PCA, LDA and LPP
Ccontrol
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190
Using advanced control techniques in an easy way for embedded - No theory, only practice
Ml
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153
经典机器学习算法的极简实现
Tiny_ml
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137
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
Sklearn Feature Engineering
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78
使用sklearn做特征工程
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Zanalysis
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43
zAnalysis是基于Pascal语言编写的大型统计学开源库
Nmfadmm
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39
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Patternrecognition_matlab
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39
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixt
Deepvis
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38
machine learning algorithms in Swift
Machinelearningnote
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37
用python实现机器学习各种经典算法
Machine Learning Models
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26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Scutan90 Deeplearning 500 Questions
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23
Machine Learning Algorithm
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22
【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析
Machine Learning Python
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18
Ldr
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17
code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
Quick Data Science Experiments 2017
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14
Quick-Data-Science-Experiments
Machine Learning
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12
machine-learning
Default Credit Card Prediction
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12
Machine Learning Project for predicting Credit Card Defaults
Clustering On The Mnist Data
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11
Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset
Facerecogition_pca_lda
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9
Matlab Code
Data_processing_and_feature_engineering_in_machine_learning
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9
This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.
Pantip Libr
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8
📚 Topic sentiment analysis hack project (with scraped Pantip.com threads)
Machine Learning.jl
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7
Deeplearning500question
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7
Davil
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6
Python Multivariate Data Visualization Tool based on radial axes
Simple Linear Classification
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5
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
Facerecognition
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5
faceRecognition with lbp and sift pca lda
Kernel_pca_lda
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5
Kernel PCA and Kernel LDA Implementation in Python using RBF Kernel, and using SVM to classify reduced dimensional data
Facerecognition
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5
Approach at solving the problem of Face Recognition using dimensionality reduction algorithms like PCA and LDA
Statistics_model
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5
统计学系模型实现
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