Скачать с ютуб Python for Data Science | Data Clanging | Part 5 в хорошем качестве

Python for Data Science | Data Clanging | Part 5

00:00 Introduction to Data Cleaning 00:39 Quality of Data 01:26 Examples of Anomalies 02:31 Median-based Anomaly Detection 05:32 Mean-based anomaly detection 08:03 Z-score-based Anomaly Detection 10:52 Interquartile Range for Anomaly Detection 15:27 Dealing with missing values 21:28 Regular Expressions 28:26 Feature Scaling --------------------------------------------------------------------------------------------------------------------- Welcome back to "Skills 4 U" with Saurabh Yadav! 🎓 In this fifth installment of our "Python for Data Science" series, we dive deep into Data Cleaning, one of the most crucial steps in any data analysis project. By the end of this video, you'll have the skills to clean and prepare your data for advanced data analysis and machine learning models. Computer skills to learn. Python Data Cleaning, Data Science, Pandas, Data Preparation, Missing Data Handling, Python Tutorial --------------------------------------------------------------------------------------------------------------------------- #PythonForDataScience #DataCleaning #DataScience #PythonTutorial #Pandas #DataPreparation #MissingData #DataAnalysis #MachineLearning #Skills4U #DataScienceTutorial #Coding #DataWrangling #PythonProgramming #TechEducation