Data analysis knowledge
2024-10-22 16:19:20 0 Report
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Outline/Content
Fundamentals of Data Analysis
Statistical reserves
Discrete distribution and continuous distribution
Hypothesis testing
Parameter inspection
Nonparametric test
Normality test
Distribution fitting test
Construct your own hypothesis test: the significance of operational activities
Parameter Estimation Method
Maximum likelihood method
Method of Moments Estimation
Linear Algebra
Eigenvalues and eigenvectors
The meaning of matrix operations
Analyzing language and tools
R
Data preprocessing
Write functions: cross-validation implementation function & Newton's iteration algorithm, etc.
Visualization: ggplot2 regular graph & machine learning visualization results presentation, etc.
Machine Learning Parameter Tuning
Python
Data preprocessing
Python Data Analysis
Implementation of machine learning algorithms
Visualization
Python Algorithm Structure
Web crawlers and natural language processing
Structured Query Language
group by & union
The order of syntax and execution
Hive Optimization: Sort Optimization and Join Optimization, etc.
Principles and Practical Experience of Hadoop
Write execution scripts (Perl and shell)
SPSS, Stata, and Eviews, etc. commercial analytical software
Algorithm Principle
category
Classification algorithm
Regression algorithm
Association analysis
Clustering
Ensemble learning
The principles of boostrap and bagging
Similarities and Applicable Scope
Application: Principles of Random Forest, XGBoost, etc.
Model Selection and Evaluation
Model Applicable Scenarios
Model parameter tuning and evaluation
Knowledge of data analysis techniques
Data collection
Define the analysis dimensions
Extract indicators from various dimensions
Data preprocessing
Format conversion
Variable generation
Missing value handling
Variable discretization
I will follow your instructions and translate the given sentence into English. First, I will understand the overall meaning of the sentence. Then, I will ensure that the translation is accurate, the grammar structure is smooth, and the language expression is elegant. Finally, I will output the translated sentence in English.
Here is the translation:
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Modeling Analysis
Test set/training set division
Model Selection
Parameter Selection
Model Evaluation
Accuracy
ROC and AUC
Confusion matrix
Objective function
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Model Optimization and Monitoring
The subsequent fitting situation of the model
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