Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Wine is differentiated based on its flavour, undernotes, smell and colour. The taste of wine is acquired over time, so how do we know if one is good or not in the absence of a wine expert? Machine learning to the rescue. Beginners can use the R programming language to build an ML model to predict the quality of wine with the help of available datasets, using data exploration, regression models and data visualisation.
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Machine learning offers an abundance of data to learn from and run models. Everybody has been talking about its applications and use c...
An easy and fun project for beginners starting out with machine learning would be building an algorithm to convert handwritten documents into digital notes or files. Also known as the offline Handwritten Text Recognition (HTR) system, this algorithm can transcribe the text in scanned images into ...
With almost everyone sticking to their television or mobile phone screens to find out the next show to binge-watch or movie to wind up the day, it is interesting to notice how our OTT profiles recommend the right content. These recommendations are based on individual viewers’ history and preferen...
Loans form an integral part of any bank. It is the loan interest from which banks earn most of their profits. Beginners can use Python to build simple ML projects for loan prediction. The project will introduce developers to concepts like logistic regression, decision tree and random forest.
This beginner-level ML project allows programmers to create an algorithm that can scrape tweets using a natural language processor. The algorithm can determine tweets matching specific themes, keywords, or individuals. Using a sentiment analysis with a text mining algorithm will thus allow one to...
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The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.
Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...
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