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Color Picker Application Using Computer Vision

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a very interesting application i.e. Color picker which have many use cases but the main use case of this application is that it can be widely used by UI/UX designer who has to pick the […]

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Blood Cell Detection in Image Using Naive Approach

This article was published as a part of the Data Science Blogathon. The basics of object detection problems are how the data would look like. Now, this article will discuss the different deep learning architectures that we can use to solve object detection problems. Let us first discuss the problem statement that we’ll be working […]

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Learn Mobile Price Prediction Through Four Classification Algorithms

This article was published as a part of the Data Science Blogathon. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new […]

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Comparing R and Tableau for Data Visualisation

This article was published as a part of the Data Science Blogathon. There has been a debate in the industry between R and Tableau. Which is better is the question. Let us see this in today’s article.   Source – Author What is Data Visualization? Data visualization is an interdisciplinary field that uses visual elements […]

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A Comprehensive Guide on Hyperparameter Tuning and its Techniques

This article was published as a part of the Data Science Blogathon.   Image designed by the author – Shanthababu   Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […]

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Building ML Model in AWS Sagemaker

This article was published as a part of the Data Science Blogathon. Image: https://sagemaker-examples.readthedocs.io/en/latest/index.html     Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era. AI/ML has become an integral part of research and innovations. The main objective of the AI system is to solve real-world problems where […]

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How to evaluate the benefits of AQUA for your Amazon Redshift workloads

Amazon Redshift is the cloud data warehouse of choice for tens of thousands of customers, who use it to analyze exabytes of data to gain business insights. Customers have been asking us for better performance at scale as the volume, variety, velocity, and veracity of their data grows. We have added several features to Amazon […]

10 Key Data Mining Challenges in NLP and Their Solutions

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]

The post 10 Key Data Mining Challenges in NLP and Their Solutions appeared first on DATAVERSITY.

No Brainer AutoML with AutoXGB

Learn how to train, optimize, and build API with a few lines of code using AutoXGB.

Text Cleaning Methods in NLP | Part-2

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]

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Power company pays out $3 trillion compensation to astonished customer

More money than the UK's economy produces in a year!

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