Wine Quality Prediction - Deepstash
Machine Learning With Google

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Machine Learning With Google

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Wine Quality Prediction

Wine Quality Prediction

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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Handwritten Documents To Digital File.

Handwritten Documents To Digital File.

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 ...

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ML

  • If you are planning to start a career or even shift to this lucrative industry, the best way is to get hands-on experience and develop a project.

Machine learning offers an abundance of data to learn from and run models. Everybody has been talking about its applications and use c...

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Movie Recommendation

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...

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79 reads

Loan Prediction

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. 

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Fake News Detection

The fake news detection model will introduce programmers to the concept of text classification . This hands-on project trains the deep learning model to detect fake news from a given news compilation. Beginners c...

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135 reads

Sorting Tweets On Twitter

Sorting Tweets On Twitter

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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chinmay_anand

I think therefore I am.

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Transfer learning concept

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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