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. To address this issue in Python, the scikit-learn library provides a good example to better understand this technique, the issues involved, and the possibility of making predictions.
Here we are predicting a numeric value, and then reading and interpreting an image that uses a handwritten font.
Scikit-Learn is a library for Python that contains numerous useful algorithms that can easily be implemented and altered for the purpose of classification and other machine learning tasks.
Data analysis can be described as a process consisting of several steps in which the raw data are transformed and processed in order to visualize data and make predictions. In this blog we will be performing data analysis on Meteorological data. You can find the data set here.
This dataset provides historical data on many meteorological parameters such as pressure, temperature, humidity, wind_speed, visibility, etc. The dataset has hourly temperature recorded for last 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 will be performing some basic…