Home Mind Map Details

Data analysis knowledge

2024-10-22 16:19:20 0 Report
Data analysis knowledge
Recommended for you
More
【Business Analysis Tool】Business Model Canvas Analysis Framework
【Business Analysis Tool】Business Model Canvas Analysis Framework
Common data analysis methods
Common data analysis methods
Basic typesetting knowledge
Basic typesetting knowledge
Summary and sharing of Google data analysis methods
Summary and sharing of Google data analysis methods
35 Must-Learn Data Analysis Models
35 Must-Learn Data Analysis Models
Data center data architecture diagram
Data center data architecture diagram
Data Analysis and Mining
Data Analysis and Mining
Common data indicators
Common data indicators
User Operation Analysis Framework
User Operation Analysis Framework
Operational Data Analysis
Operational Data Analysis
Other creations by the author
Outline/Content
Discrete distribution and continuous distribution
Parameter inspection
Normality test
Distribution fitting test
Nonparametric test
Construct your own hypothesis test: the significance of operational activities
Hypothesis testing
Maximum likelihood method
Method of Moments Estimation
Parameter Estimation Method
Eigenvalues and eigenvectors
The meaning of matrix operations
Linear Algebra
Statistical reserves
Data preprocessing
Machine Learning Parameter Tuning
R
Python Data Analysis
Implementation of machine learning algorithms
Visualization
Python Algorithm Structure
Web crawlers and natural language processing
Python
group by & union
The order of syntax and execution
Principles and Practical Experience of Hadoop
Write execution scripts (Perl and shell)
Structured Query Language
Analyzing language and tools
Classification algorithm
Regression algorithm
Association analysis
Clustering
category
The principles of boostrap and bagging
Similarities and Applicable Scope
Ensemble learning
Model Applicable Scenarios
Model parameter tuning and evaluation
Model Selection and Evaluation
Algorithm Principle
Fundamentals of Data Analysis
Define the analysis dimensions
Extract indicators from various dimensions
Data collection
Format conversion
Variable generation
Missing value handling
Variable discretization
Test set/training set division
Model Selection
Parameter Selection
Modeling Analysis
Accuracy
ROC and AUC
Confusion matrix
Objective function
······
Model Evaluation
The subsequent fitting situation of the model
Model Optimization and Monitoring
Knowledge of data analysis techniques
Data analysis knowledge
Comments
0 Comments
Reply Delete
Cancel
Reply
Next page