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EDA on SuperStore Dataset Using Python

Analytics Vidhya

Table of Contents Introduction Working with dataset Creating loss dataframe Visualizations Analysis from Heatmap Overall Analysis Conclusion Introduction In this article, I am going to perform Exploratory Data Analysis on the Sample Superstore dataset.

EDA 328
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The 6 best ChatGPT plugins for data science 

Data Science Dojo

ChatGPT can also use Wolfram Language to perform more complex tasks, such as simulating physical systems or training machine learning models. Deploy machine learning Models:   You can use the plugin to train and deploy machine learning models.

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Fine-Tuning Legal-BERT: LLMs For Automated Legal Text Classification

Towards AI

Performing exploratory data analysis to gain insights into the dataset’s structure. Whether you’re a data scientist aiming to deepen your expertise in NLP or a machine learning engineer interested in domain-specific model fine-tuning, this tutorial will equip you with the tools and insights you need to get started.

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How to Prompt GPT-4 For Authentic Data Visuals That Make You Look Like a Pro

Towards AI

Exploratory analysis and data storytelling on global forest loss Prompting GPT-4 for exploratory data analysis and storytelling are an essential tool to add to your data science toolbox. Click on the download icon to download the file. In the new directory there will be a few files.

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations.

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Achieve effective business outcomes with no-code machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

On November 30, 2021, we announced the general availability of Amazon SageMaker Canvas , a visual point-and-click interface that enables business analysts to generate highly accurate machine learning (ML) predictions without having to write a single line of code.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.