Recognizing handwritten text is a problem that can be traced back to the first automatic machines that needed to recognize individual characters in handwritten documents. Think about, for example, the ZIP codes on letters at the post office and the automation needed to recognize these five digits. Perfect recognition of these codes is necessary in order to sort mail automatically and efficiently.
In this article we are going to look into how to use the K-Nearest Neighours algorithm to recognize handwritten digits from 0–9, on the dataset Digits from the scikit-learn library.
Scikit-learn is a free machine learning library for…
One type of data that’s easier to find on the net is Weather data. There are many sites which provide historical data on many meteorological parameters such as pressure, temperature, humidity, wind_speed, visibility, etc.
Today we are performing data analysis on one such data. You can find the data here.
This dataset has hourly temperature recorded for 10 years starting from 2006–04–01 00:00:00.000 +0200 to 2016–09–09 23:00:00.000 +0200. It corresponds to Finland, a country in the Northern Europe.
We need to analyze the data to test the Null Hypothesis (H0) here, which would be “Has the Apparent temperature and humidity…
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