Data Exploration - Exploratory Data Analysis for Machine Learning | The Knowledge Academy

In this video titled "Data Exploration - Exploratory Data Analysis for Machine Learning | The Knowledge Academy," we dive into the critical first step in any data science project: Data Exploration and Exploratory Data Analysis (EDA). This process involves examining datasets to summarise their main characteristics, often using visual methods, and is essential for understanding the data you're working with before building machine learning models. Learn more about Machine Learning here: https://bit.ly/4cOgvaT Explore More from our Free Resources: https://bit.ly/3GPxDTv Dataset Used: https://bit.ly/413GpFm This video on "Data Exploration - Exploratory Data Analysis for Machine Learning | The Knowledge Academy" includes the following topics: 00:00 Introduction 01:02 Types of Data Exploration 01:43 Mean, Median, and Mode 02:57 Standard Deviation and Variance 03:53 Skewness and Kurtosis 04:52 Basic Plots and Tables for Data Exploration 08:21 Conclusion What is Data Exploration and why is it important in Machine Learning? Data Exploration is the process of analysing and visualising datasets to uncover patterns, spot anomalies, and test hypotheses. It's crucial in machine learning because it helps data scientists understand the underlying structure of the data, identify trends, and detect outliers that might influence the performance of machine learning models. This step is foundational as it guides the selection of features and the creation of data models. What techniques are commonly used in Exploratory Data Analysis? Exploratory Data Analysis involves a variety of techniques, including summary statistics, data visualisation, and correlation analysis. Tools such as histograms, box plots, scatter plots, and heatmaps are often used to visualise data distributions, relationships, and variations. These techniques help in identifying the most relevant features for modeling and in cleaning the data to remove noise, making it ready for the next stages of machine learning. 🔑 Key Features: ✅ Diverse Training Options – Online, Instructor-led, Onsite ✅ Device Compatibility – Access your course on all devices ✅ Interactive Learning Tools - Observe the trainer's screen, utilise virtual whiteboard, and share documents ✅ Best Industry Prize – Obtain your certification at competitive rates ✅ High-Quality Resources - Access detailed resources such as eBooks, Blogs, and more ✅ Worldwide Professional Recognition – Our courses are accredited by globally recognised bodies ✅ Subscribe to our Channel to explore additional top Technologies: https://bit.ly/4f1nM9t About The Knowledge Academy: Global Reach: Join over 2 million successful delegates with The Knowledge Academy High Success Rate: Accomplish your goals with our 98% pass rate Industry Accredited: Learn with confidence, accredited by PeopleCert, PMI Worldwide Centers: Access top-tier learning in 195 countries Excellence Acknowledged: Recognised by The Times and PWC for our commitment Wide Partnerships: Benefit from our extensive network of 3000+ organisations Flexible Learning: Explore diverse training methods tailored to your needs Join us for expert-led courses tailored to your needs, wherever you are. Let's unlock your potential together! 🎓🌍 🔵 For more information about The Knowledge Academy courses, visit: ➡Website: https://www.theknowledgeacademy.com ➡Facebook: https://www.facebook.com/The.Knowledge.Academy.Ltd ➡Twitter: https://twitter.com/TKA_Training ➡LinkedIn: https://www.linkedin.com/company/the-knowledge-academy/ ➡The Knowledge Academy Reviews: https://www.theknowledgeacademy.com/reviews/ #DataExploration #ExploratoryDataAnalysis #MachineLearning #DataScience #DataVisualisation #TheKnowledgeAcademy #ML #EDA