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”
Tag Archives: CRISP-DM
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 – Problem Understanding – Part 3
In our previous article, we laid the groundwork for a successful machine learning project. We delved into pivotal aspects, ranging from operating systems and GPU support to GitHub repository structuring, shaping the project’s overarching environment. Now, equipped with a well-prepared environment, we’re ready to dive into the heart of the CRISP-DM process – Business Understanding.Continue reading “Project Guide – Problem Understanding – Part 3”
Project Guide – Introduction – Part 1
Ever found yourself at the exciting crossroads of wanting to start a machine learning project but unsure of where to begin? If so, you’re not alone! This guide is here to help, offering insights that could be particularly beneficial for projects like the midterms or capstone projects featured in Alexey Grigorev‘s exceptional course at DataTalksClub.Continue reading “Project Guide – Introduction – Part 1”
ML Zoomcamp 2023 – Introduction to Machine Learning – Part 4
Overview: CRISP-DM Machine Learning Process This part is about the CRISP-DM Machine Learning Process (Cross-industry standard process for data mining). Methodologies like CRISP-DM help us to organize the ML project in a way that is manageable (what needs to happen in which order). Figure 1.4.1 is from Wikipedia. You can find more information on thatContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 4”
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