Performing Analysis of Meteorological Data

Recognizing Handwritten Digits with Scikit-Learn Recognizing handwritten text  is a problem that traces 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 to sort mail automatically and efficiently. Included among the other applications that may come to mind is  OCR (Optical Character Recognition)  software. OCR software must read handwritten text, or pages of printed books, for general electronic documents in which each character is well defined. But the problem of handwriting recognition goes farther back in time, more precisely to the early 20th Century (the 1920s), when Emanuel Goldberg (1881–1970) began his studies regarding this issue and suggested that a statistical approach would be an optimal choice. To address this issue in Python,...

Performing Analysis of Meteorological Data Data Analytics  can give us plenty of information that can be used to analyze everyday weather conditions. Knowing accurate weather conditions is an important element for individuals as well as organizations. Many businesses rely on weather conditions. It is necessary to have the correct data to get accurate decisions. One type of data that’s easier to find on the internet is  Weather data . Many sites provide historical data on many meteorological parameters such as pressure, temperature, humidity, wind speed, visibility, etc. Terminologies:- Data analytics  is a discipline focused on extracting insights from data. It comprises the processes, tools, and techniques of data analysis and management, including the collection, organization, and storage of data. Meteorological Data:- Data consisting of physical parameters that are measured directly by instrumentation, and include temperature, dew point, wind direction, wind speed, clo...