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        <title><![CDATA[Stories by Vatsal on Medium]]></title>
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            <title><![CDATA[Outlier Detection Methods in Python w/ IQR & Standard Deviation]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://vatsal12-p.medium.com/outlier-detection-methods-in-python-w-iqr-standard-deviation-bf8653f544bb?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*GqxxH4D8PsSv9H2c" width="1000"></a></p><p class="medium-feed-snippet">Data Quality using Statistical Methods in Python</p><p class="medium-feed-link"><a href="https://vatsal12-p.medium.com/outlier-detection-methods-in-python-w-iqr-standard-deviation-bf8653f544bb?source=rss-1c849b1a8ec0------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://vatsal12-p.medium.com/outlier-detection-methods-in-python-w-iqr-standard-deviation-bf8653f544bb?source=rss-1c849b1a8ec0------2</link>
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            <pubDate>Fri, 06 Oct 2023 17:29:29 GMT</pubDate>
            <atom:updated>2023-10-06T17:29:29.708Z</atom:updated>
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            <title><![CDATA[Anomaly Detection for Data Quality in Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://vatsal12-p.medium.com/anomaly-detection-for-data-quality-in-python-e178286239da?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*-A8JLPR6lJFboX7o" width="1000"></a></p><p class="medium-feed-snippet">Anomaly Detection using Machine Learning</p><p class="medium-feed-link"><a href="https://vatsal12-p.medium.com/anomaly-detection-for-data-quality-in-python-e178286239da?source=rss-1c849b1a8ec0------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://vatsal12-p.medium.com/anomaly-detection-for-data-quality-in-python-e178286239da?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Tue, 28 Feb 2023 14:02:41 GMT</pubDate>
            <atom:updated>2023-02-28T14:02:41.072Z</atom:updated>
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            <title><![CDATA[Supervised & Unsupervised Approach to Topic Modelling in Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/supervised-unsupervised-approach-to-topic-modelling-in-python-d03e0b9da1dc?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*FqWTteSx6bVwcxYs" width="1000"></a></p><p class="medium-feed-snippet">Build a Topic Modelling Pipeline from Scratch in Python</p><p class="medium-feed-link"><a href="https://medium.com/data-science/supervised-unsupervised-approach-to-topic-modelling-in-python-d03e0b9da1dc?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/supervised-unsupervised-approach-to-topic-modelling-in-python-d03e0b9da1dc?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Tue, 31 Jan 2023 15:12:18 GMT</pubDate>
            <atom:updated>2023-01-31T15:12:18.011Z</atom:updated>
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            <title><![CDATA[Graph Embeddings Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/graph-embeddings-explained-f0d8d1c49ec?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*oK6SRDQwou4BWXkW" width="1000"></a></p><p class="medium-feed-snippet">Overview and Python Implementation of Node, Edge and Graph Embedding Methods</p><p class="medium-feed-link"><a href="https://medium.com/data-science/graph-embeddings-explained-f0d8d1c49ec?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 07 Nov 2022 19:40:25 GMT</pubDate>
            <atom:updated>2022-11-07T19:40:25.119Z</atom:updated>
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            <title><![CDATA[Feature Importance in Machine Learning, Explained]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/feature-importance-in-machine-learning-explained-443e35b1b284?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*5o5gEbUDXAaY75EV" width="1000"></a></p><p class="medium-feed-snippet">Identify important features associated with models in Python using SHAP and Sci-Kit Learn</p><p class="medium-feed-link"><a href="https://medium.com/data-science/feature-importance-in-machine-learning-explained-443e35b1b284?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/feature-importance-in-machine-learning-explained-443e35b1b284?source=rss-1c849b1a8ec0------2</link>
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            <category><![CDATA[machine-learning]]></category>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Thu, 03 Nov 2022 14:06:43 GMT</pubDate>
            <atom:updated>2022-11-03T14:06:43.247Z</atom:updated>
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            <title><![CDATA[Calculating Data Drift in Machine Learning using Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/calculating-data-drift-in-machine-learning-53676ff5646b?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1000/0*-Xoxu7faRXZKIoOJ" width="1000"></a></p><p class="medium-feed-snippet">Drift Detection for Machine Learning Models</p><p class="medium-feed-link"><a href="https://medium.com/data-science/calculating-data-drift-in-machine-learning-53676ff5646b?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/calculating-data-drift-in-machine-learning-53676ff5646b?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 24 Oct 2022 12:01:44 GMT</pubDate>
            <atom:updated>2023-01-31T05:36:14.094Z</atom:updated>
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            <title><![CDATA[Download Books in the Public Domain W/ Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/download-books-in-the-public-domain-w-python-728d198f421d?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1506/1*ZD3NuNDWCEBmU8n_BXWoFQ.png" width="1506"></a></p><p class="medium-feed-snippet">A Guide on Scraping Project Gutenberg</p><p class="medium-feed-link"><a href="https://pub.towardsai.net/download-books-in-the-public-domain-w-python-728d198f421d?source=rss-1c849b1a8ec0------2">Continue reading on Towards AI »</a></p></div>]]></description>
            <link>https://pub.towardsai.net/download-books-in-the-public-domain-w-python-728d198f421d?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 11 Jul 2022 12:02:23 GMT</pubDate>
            <atom:updated>2022-07-15T04:02:00.780Z</atom:updated>
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            <title><![CDATA[Monitoring Machine Learning Models in Production]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/monitoring-machine-learning-models-in-production-1633f23d1e0b?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/738/1*mEVWKDi9Nn3OtEvwkp-vpQ.png" width="738"></a></p><p class="medium-feed-snippet">Guide on ML Model Monitoring in Production</p><p class="medium-feed-link"><a href="https://pub.towardsai.net/monitoring-machine-learning-models-in-production-1633f23d1e0b?source=rss-1c849b1a8ec0------2">Continue reading on Towards AI »</a></p></div>]]></description>
            <link>https://pub.towardsai.net/monitoring-machine-learning-models-in-production-1633f23d1e0b?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 13 Jun 2022 12:02:33 GMT</pubDate>
            <atom:updated>2022-06-15T15:41:40.298Z</atom:updated>
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            <title><![CDATA[Train & Predict Sci-Kit Learn Models in Parallel]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/train-predict-sci-kit-learn-models-in-parallel-510aee478426?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1898/1*mglZVL58Rs6x4GWHHf1LzQ.png" width="1898"></a></p><p class="medium-feed-snippet">Parallelize your Model Training and Prediction on Sci-Kit Learn</p><p class="medium-feed-link"><a href="https://medium.com/data-science/train-predict-sci-kit-learn-models-in-parallel-510aee478426?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/train-predict-sci-kit-learn-models-in-parallel-510aee478426?source=rss-1c849b1a8ec0------2</link>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 06 Jun 2022 12:03:07 GMT</pubDate>
            <atom:updated>2022-06-07T15:58:17.995Z</atom:updated>
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            <title><![CDATA[Parallelization with MultiProcessing in Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/parallelization-w-multiprocessing-in-python-bd2fc234f516?source=rss-1c849b1a8ec0------2"><img src="https://cdn-images-1.medium.com/max/1620/1*P3Q4zyC3PbbObqRW8MKMjA.png" width="1620"></a></p><p class="medium-feed-snippet">Run your data science tasks in parallel to speed up computation time</p><p class="medium-feed-link"><a href="https://medium.com/data-science/parallelization-w-multiprocessing-in-python-bd2fc234f516?source=rss-1c849b1a8ec0------2">Continue reading on TDS Archive »</a></p></div>]]></description>
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            <dc:creator><![CDATA[Vatsal]]></dc:creator>
            <pubDate>Mon, 30 May 2022 12:04:20 GMT</pubDate>
            <atom:updated>2022-05-31T06:11:15.281Z</atom:updated>
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