Vishal J

DIMENSIONALITY REDUCTION.

INTRODUCTION. In machine learning classification problems, there are often so many factors on which the final classification is finished. The factors are basically variables called features. Higher the number of features, the harder it gets to visualize the training dataset and then to work on it. This is where the dimensionality reduction algorithms come into …

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TESSERACT OCR: TEXT DETECTION

INTRODUCTION.     OCR also known as Optical Character Recognition is the conversion of two-dimensional images of text which could contain typed, printed text or handwritten text into machine-encoded text. OCR software identifies and capture all the unique words using different languages from written text characters. When the text occurs in unconstrained environments, like natural scenes, …

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ENSEMBLE LEARNING.

            INTRODUCTION Ensemble learning is the process in which multiple models, such as classifiers, are generated and combined to solve a particular computational problem. The ensemble learning techniques combine the decisions from multiple models to improve the overall performance. Ensemble learning is one of the most effective ways to build an efficient ML model. Ensemble …

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