Keeping up is hard for data scientists to do. Chisel Analytics is happy to help! Title: Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know Source:…
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Keeping up is hard for data scientists to do. Chisel Analytics is happy to help! Title: Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know Source:…
Keeping up is hard for data scientists to do. Chisel Analytics is happy to help! Title: Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data…
A quick look at three of the major players and some of what they have to offer around machine learning. Title: Amazon Forecast - Accurate time-series forecasting service, based on…
Title: The 5 Most Useful Techniques to Handle Imbalanced Datasets Author: Rahul Agarwal, Senior Statistical Analyst at Walmart LabsSource: https://www.kdnuggets.com/2020/01/5-most-useful-techniques-handle-imbalanced-datasets.htmlHow: resampling, imbalanced-learn(imblearn); Tomek Links, SMOTE (Synthetic Minority Oversampling Technique); sklearn,When…
Title: The Easy Way to Do Advanced Data Visualisation for Data Scientists Author: George Seif, AI/Machine Learning Engineer, KdnuggetsSource: kdnuggets.com/2019/08/advanced-data-visualisation-data-scientists.htmlHow: Python library Plotly, D3.jsWhen to use this: If data visualization…
Title: Great R packages for data import, wrangling and visualization Author: Sharon Machlis, Executive Editor, Data & Analytics, ComputerworldSource: https://www.computerworld.com/article/2921176/great-r-packages-for-data-import-wrangling-visualization.htmlHow: Install various packages to accomplish dedicated tasksWhen to use this:…
Keeping up to date on developments in the data sciences is hard. Here are a few items you may have missed: (more…)
In case you missed them the first time, be sure to bookmark these articles! (more…)
7 Steps to Mastering Data Preparation for Machine Learning with Python Author: Matthew Mayo, KDNuggets Source: https://www.kdnuggets.com/2019/06/7-steps-mastering-data-preparation-python.html How: Pandas library, Python, EDA (Exploratory Data Analysis) When to use this: when…
As a data specialist, expectations are high. Data scientists are perceived as essentially magicians, who can wrangle data, whip up an algorithm and pull a result out of their hat.…
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