Matplotlib
DataScience
Python
3 ways to do dimensionality reduction techniques in Scikit-learn
Dimensionality reduction techniques are used to extract informative features that could be used for later learning, etc. Tested PCA, MDS and t-SNE for the breast cancer dataset.
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Crypto
DataScience
Python
Coefficient of variation to compare your crypto assets
This guide shows how to obtain crypto data via CoinGecko API and calculate the coefficient of variation that is a statistical measure of the dispersion of data points.
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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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DataScience
Python
How to draw a candlestick chart with DataFrame in Python (mplfinance, plotly and bokeh)
Tutorials how to craw a candlestick from DataFrame object with three different libraries mplfinance, plotly and bokeh.
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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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Crypto
DataScience
How to get cumulative return for your asset and portfolio in Python
To explain how to use cumprod in Pandas library to calculate cumulative portfolio return and single asset return in an efficient code with Python.
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