Pandas

Cloud Service Image
AWS
Container

How to craft a Lambda layer in AWS, Pandas example

This is a guide how to find public available layers in github, then create your own layer and publish it in AWS by either EC2 or Docker container.

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Machine Learning Image
DataScience
Python

DiCE -ML models with counterfactual explanations for the sunk Titanic data-

This article is an overview why counterfactual explanations are required in recent ML projects and how to apply Microsoft research DiCE library for Titatic data set. There have been some foreseen and ongoing trends in AI/ML for 2020 such as AutoML, MLOps, AI ethic those are to democratize AI/ML in the industries more than ever. […]

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Chart Analysis Image
DataScience
Python

How to draw support and resistence lines with DataFrame in Python

Support and resistence lines are referred to analyze chart patterns, and a direction of assets for traders. This is a guide to draw those lines in matplotlib.

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Trading chart Image
DataScience
Python

How to draw a trend line with DataFrame in Python

Talib library doesn’t support to draw trendlines. This is the article how to compute trendlines from DataFrame and draw it in matplotlib.

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Trading market Image
DataScience
Python

How to draw 4 most common trend indicators in matplotlib in Python

Trend indicators are usable and handy for beginners. Here is to introduce how to draw chars and bars for Moving Averages, MACD, RSI and OBV in Python.

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Programming Image
Python

Mastering DataFrame – 3 tips for DataFrame.rolling function

Introduce 3 tips in DataFrame about the parameters center and min_periods, how to change the weight of window with win_type, how to use apply function.

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Machine learning Image
DataScience
Python

How to build Sentiment Analysis with NLTK and Sciki-learn in Python

Sentiment Analysis is one of major applicatioin in machine learning and natural language processing space. This is a guide how to code it in Python.

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Analytics Image
DataScience
Python

How to compute price correlation for financial data in Python

We learn how to use Pandas rolling function to calculate rolling change, rolling standard deviation and rolling correlation for financial assets.

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BigData Image
DataScience
Python

Mastering DataFrame – how to aggregate OHLCV data in a different time period

OHLCV stands for Open, High, Low, Close and Volume (Volume is optional). It’s used for market data such as stock, forex, commodity and crypto and consists of a series of rows that represent 5 data points: the opening and closing price, the highest and lowest price during a certain period of time. Volume is the […]

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