When writing code, python will have many libraries, which can be easily adjusted, learn numpy matrix calculation, pandas, do data processing, matplotlib drawing library, and seaborn, drawing library, and then we will learn algorithms: the derivation of regression algorithms, It is necessary to have the foundation of university advanced mathematics, some mathematical foundations are very important, the derivation of principles, and the application of knowledge.
The following is a brief introduction to the content of this blog that is constantly updated
Regression Algorithm:
Decision Tree:
Bayesian algorithm:
Support Vector Machine (SVM):
Neural network: Now the neural network is more
popular xgboost algorithm:
Natural language processing related:
K-nearest neighbors and classification:
PCA dimensionality reduction and SVD matrix decomposition:
scikit_learn:
python analyze data:
Machine learning project practice:
Machine Learning Applications:
Introduction to the Gensim library: