Machine learning catalog

In the coming months , We will gradually classify and summarize the previously sorted blog articles , And establish a learning column area . The content will focus on theoretical algorithms , Derivation process , Application stage , Organize the actual combat of the project from several dimensions . The content will be updated slowly .

The following is a look-up directory of machine learning

One 、 Basis of Statistics

1、 On the understanding of Fourier series and transformation （ One ）

2、 On the understanding of Fourier series and transformation （ Two ）

3、 Interpretation and derivation of Fourier transform （ 3、 ... and ）

4、 Geometric significance of eigenvalues and eigenvectors

5、 Relationship between orthogonal transformation and coordinate system

6、 Covariance and Pearson correlation coefficient

7、 Linear regression , deviation 、 Variance tradeoff

8、 Linear discriminant analysis （LDA）, Principal component analysis (PCA)、 Singular value decomposition （SVD）

9、 Gradient and gradient descent method

Two 、 Machine learning algorithm

1、 List of machine learning algorithms

2、 Machine learning algorithm （1） Logistic regression algorithm

3、 Machine learning algorithm （2） And K Nearest neighbor algorithm

4、 Machine learning algorithm （3） The decision tree algorithm

5、 Machine learning algorithm （4） A simplified version of support vector machine

6、 Machine learning algorithm （5） Detailed version of support vector machine

7、 Machine learning algorithm （7） Naive Bayes

8、 Machine learning algorithm （8） Detailed explanation of multiple linear regression analysis theory

9、 Machine learning algorithm （9） Clustering algorithm

10、 Machine learning algorithm （10） Data mining algorithm Apriori Detailed explanation

11、 Machine learning algorithm （11） Recommended system library --Surprise

12、 Machine learning algorithm （12） Model fusion of integrated learning

13、 Machine learning algorithm （13） And bagging And random forest algorithm

14、 Machine learning algorithm （14） And boosting Algorithmic Adaboost、GBDT

15、 Machine learning algorithm （15） And Xgboost Algorithm

16、 Data preprocessing and feature engineering

17、 Model evaluation and validation 【1】—— Over fitting 、 Under fitting 、 The learning curve 、 Verify the curve

18、 Model evaluation and validation 【2】—— Cross validation 、 Grid search and model evaluation

19、 Selection of super parameters 、 Grid search and cross validation

20、 The understanding of regularization

3、 ... and 、 Machine learning practice

1、 Logic returns to actual combat

2、K Practice of neighborhood algorithm

3、 Titanic prediction case

4、 Naive Bayes in action

5、 Example of random forest parameter adjustment

6、 Recommended system practice

7、Xgboost Parameter tuning

8、Sklearn Medium StratifiedKFold And stacking Model fusion method

Four 、 Big data competition

Big data processing and analysis project of artificial intelligence operation and maintenance of photovoltaic power station （ Bonus ￥220,000）-- The second prize

         Based on the analysis of the principle of photovoltaic power generation , The irradiance 、 Working temperature of photovoltaic panel and other factors affecting photovoltaic output power , The prediction model is established through the real-time monitoring of the operation state parameters and meteorological parameters of photovoltaic panels , Estimate the instantaneous power generation of photovoltaic power station , According to the photovoltaic power station DCS Compare and analyze the actual power generation data provided by the system , Verify the practical application value of the model .

GOC Storage network intelligent inventory management （￥60,000）--Rank 36/1618