原创 08_Dimensionality Reduction_04_Mixture Models and EM_K-means_Image segmentation_compression
9.1. K-means Clustering We begin by considering the problem of identifying groups, or clusters, of data points in
2020-05-15 08:57:58
原创 cp11_Working with Unlabeled Data_Clustering Analysis_Kmeans_hierarchical_dendrogram_heat map_DBSCAN
In the previous chapters, we used supervised learning techniques to build machine learning models using data where
2020-05-03 19:44:46
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原创 08_Dimensionality Reduction_svd_Kernel_pca_make_swiss_roll_subplot2grid_IncrementalPCA_memmap_LLE
cp5_Compressing Data via Dimensionality Reduction_feature extraction_PCA_LDA_convergence_kernel PCA: https://blog.csdn.
2020-04-25 08:28:18
原创 cp5_Compressing Data via Dimensionality Reduction_feature extraction_PCA_LDA_convergence_kernel PCA
In cp4, Building Good Training Sets – Data Preprocessing, you learned about the different approaches for reducing
2020-04-15 02:39:04
原创 重裝蘋果系統OS X could not be installed on your computer. No packages were eligible for install.
建議：press power + shift + option + command + R （可以安裝出廠狀態的系統） press power button＋command +R（可以安裝最近的系統（可能是update之後的系統），有可
2020-04-12 12:05:04
201
原创 URLError: urlopen error [SSL CERTIFICATE_VERIFY_FAILED] _Your connection is not private_wine.data
python 運行以下代碼出現： df_wine = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data', head
2020-04-02 19:06:10
原创 06_Decision Trees_01_graphviz_Gini_Entropy_Decision Tree_CART
Like SVMs, Decision Trees are versatile Machine Learning algorithms that can perform both classification and regre
2020-03-08 23:57:16
原创 01_the_machine_learning_landscape
1. How would you define Machine Learning? Ans: Machine Learning is about building systems that can learn from data. Lea
2020-02-22 13:47:12
原创 02_End-to-End Machine Learning Project
Here are the main steps you will go through: 1. Look at the big picture. 2. Get the data. 3. Discover and visualize the
2020-02-22 13:47:12
原创 cp11_13_Object Orientation And Graphical User Interfaces(安裝install trait)
First, solve the problem. Then, write the code. — Jon Johnson It might be helpful to have (class/object) private attr
2020-02-22 13:47:12
原创 04_TrainingModels_03
04_TrainingModels_Normal Equation(正態方程,正規方程) Derivation_Gradient Descent_Polynomial Regression: https://blog.csdn.net/L
2020-02-22 13:47:12
原创 04_TrainingModels_02_regularization_Ridge_Lasso_Elastic Net_Early Stopping
######################### WARNING PolynomialFeatures(degree=d) transforms an array containing features into an array c
2020-02-22 13:47:11
原创 02_End-to-End Machine Learning Project_02
Here are the main steps you will go through: 1. Look at the big picture. Frame the Problem What is the business objecti
2020-02-22 13:47:11
原创 04_TrainingModels_Normal Equation(正態方程,正規方程) Derivation_Gradient Descent_Polynomial Regression
So far we have treated Machine Learning models and their training algorithms mostly like black boxes. If you went throu
2020-02-22 13:47:11
原创 05_Support Vector Machines_hinge_support vectors_decision function_Lagrange multiplier拉格朗日乘數
A Support Vector Machine (SVM) is a very powerful and versatile多種功能的 Machine Learning model, capable of performing line
2020-02-22 13:47:11