✍Tips and Tricks in Python

The conversion between list, dictionary, ndarray, Series and DataFrame

Note: This is the learning note for common data structure conversion between list, dictionary and ndarray, Pandas’ Series and DataFrame . Nothing fancy, but handy.

📈Python For Finance Series

  1. Identifying Outliers (updated on 10/28/2020 Winsorization added)
  2. Identifying Outliers — Part Two
  3. Identifying Outliers — Part Three
  4. Stylized Facts
  5. Feature Engineering & Feature Selection
  6. Data…

📈Python for finance series

How to boost your machine learning score

Note from Towards Data Science’s editors: While we allow independent authors to publish articles in accordance with our rules and guidelines, we do not endorse each author’s contribution. You should not rely on an author’s works without seeking professional advice. See our Reader Terms for details.

Warning: There is no…

📈Python for finance series

The Triple-barrier Method

Note from Towards Data Science’s editors: While we allow independent authors to publish articles in accordance with our rules and guidelines, we do not endorse each author’s contribution. You should not rely on an author’s works without seeking professional advice. See our Reader Terms for details.

Warning: There is no…

📈Python for finance series

How to apply modern Machine Learning on Volume Spread Analysis (VSA)

Warning: There is no magical formula or Holy Grail here, though a new world might open the door for you.

📈Python For Finance Series

  1. Identifying Outliers
  2. Identifying Outliers — Part Two
  3. Identifying Outliers — Part Three
  4. Stylized Facts
  5. Feature Engineering & Feature Selection
  6. Data Transformation
  7. Fractionally Differentiated Features
  8. Data Labelling
  9. Meta-labeling and Stacking

In…

📈Python for finance series

How to apply modern Machine Learning on Volume Spread Analysis (VSA)

Warning: There is no magical formula or Holy Grail here, though a new world might open the door for you.

📈Python For Finance Series

  1. Identifying Outliers
  2. Identifying Outliers — Part Two
  3. Identifying Outliers — Part Three
  4. Stylized Facts
  5. Feature Engineering & Feature Selection
  6. Data Transformation
  7. Fractionally Differentiated Features
  8. Data Labelling
  9. Meta-labeling and Stacking

Following…

📈Python for finance series

How to find and visualize outliers in your dataset by Pandas

Warning: There is no magical formula or Holy Grail here, though a new world might open the door for you.

📈Python For Finance Series

  1. Identifying Outliers
  2. Identifying Outliers — Part Two
  3. Identifying Outliers — Part Three
  4. Stylized Facts
  5. Feature Engineering & Feature Selection
  6. Data Transformation
  7. Fractionally Differentiated Features
  8. Data Labelling
  9. Meta-labeling and Stacking

In…

Ke Gui

An ordinary guy who wants to be the reason someone believes in the goodness of people. He is living at Brisbane, Australia, with a lovely backyard.

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