Precision in Understanding: EDA Techniques A crucial aspect of data understanding involves delving into Exploratory Data Analysis (EDA) which is an approach of analyzing datasets to summarize the containing main features. This entails both numerical and graphical summaries to paint a comprehensive picture of your dataset. Numerical Summaries: Decoding Data Through Numbers Depending on howContinue reading “Project Guide – Data Understanding & Data Sourcing (2/2) – Part 5”
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Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4
In our expedition through the realms of machine learning and data science, we’ve traversed the critical phase of “Problem Understanding,” laying the groundwork for the transformative journey that lies ahead. As we transition to the next phase, “Data Understanding and Data Sourcing,” let’s carry forward the insights gleaned from our problem understanding phase. The datasetsContinue reading “Project Guide – Data Understanding & Data Sourcing (1/2) – Part 4”
Project Guide – Environment – Part 2
Welcome back to the second part of our machine learning project initiation series! In the first article, we had a quick refresher of CRISP-DM, and I promised we’d start with the first phase – but hold on, let’s backtrack a bit. Setting the Stage for Success Before we jump into the first phase, let’s talkContinue reading “Project Guide – Environment – Part 2”
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