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.gitbook/assets
.gitbook/assets
 
 
data-analysis
data-analysis
 
 
getting-started
getting-started
 
 
machine-learning
machine-learning
 
 
statistics
statistics
 
 
visualization
visualization
 
 
README.md
README.md
 
 
SUMMARY.md
SUMMARY.md
 
 

README.md

description This manual introduces the basic usages and tips for using Visual Python.

Visual Python Manual

Getting Started

  • Welcome to Visual Python
  • How to install
  • Installing FAQ

Data Analysis

  1. Import
  2. File
  3. Data Info
  4. Frame
  5. Subset
  6. Groupby
  7. Bind
  8. Reshape

Visualization

  1. Chart Style
  2. Pandas Plot
  3. Matplotlib
  4. Seaborn
  5. Plotly
  6. WordCloud

Statistics

  1. Prob.Distribution
  2. Descriptive Statistics
  3. Normality Test
  4. Equal Var. Test
  5. Correlation Analysis
  6. Reliability Analysis
  7. Chi-square Test
  8. Student's T-Test
  9. ANOVA
  10. Factor Analysis
  11. Regression
  12. Logistic Regression

Machine Learning

  1. Data Sets
  2. Data Split
  3. Data Prep
  4. AutoML
  5. Regressor
  6. Classifier
  7. Clustering
  8. Dimension
  9. GridSearch
  10. Fit/Predict
  11. Model Info
  12. Evaluation
  13. Pipeline
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