DataScience
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Deep learning, machine learning and big data are classified in data science context.
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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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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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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DataScience
Python
How to get a distribution of returns and draw a probability plot for the distribution in Python
It’s crucial to understand the distribution curve of data (asset returns) and if it conforms to the normal distribution. You can learn how to do this in Python.
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DataScience
How to calculate historical volatility and sharpe ratio in Python
To understand what historical volatility and sharpe ratio are in the markets. It is a how-to guide how to compute volatility and sharpe ratio in Python.
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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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DataScience
How to build your own Data Science environment with Docker and Anaconda3
To introduce Anaconda distribution and the official Docker image. You’ll know how to customize the image in Dockerfile and spin up your own environment.
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