Project_Blog

Handwritten digits recognition is an area of machine learning, in which a machine is trained to identify handwritten digits.  Handwritten character recognition is one of the practically important issues in pattern recognition applications. The applications of digit recognition include in postal mail sorting, bank check processing, form data entry, etc.  In this blog, we are going to recognize handwritten single digits (0-9) using different machine learning algorithms and then a comparison is made to find out the algorithm which provide the best results. Digits is the dataset used here, which consists of 1,797 images of 8*8 pixel each. Each image is a handwritten digit in grayscale. So, let’s get started. 1)     Firstly, we have to import important libraries to be used in this analysis. The dataset is loaded as shown below: 2)     Since we have loaded, we can now find out the shape of the dataset. 3)     The images of ...

   First let us understand  meteorology  and  importance of data analysis on meteorological  data. " Meteorology  is the study of the Earth's atmosphere and the variations in temperature and moisture patterns that produce different weather conditions. Some of the major subjects of study are such phenomena as precipitation (rain and snow), thunderstorms, tornadoes, and hurricanes and typhoons.  The importance of meteorological events is felt in various ways. For example, a drought results in water shortages, crop damage, low river flow rates, and increased wildfire potential. The critical impact of weather on human activity has led to the development of the uncertain science of weather forecasting. For more information refer  https://www.scholastic.com/teachers/articles/teaching-content/meteorology/ ." Basically, our aim here is to transform the given raw data into information and then extract our insights and knowledge from it...