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To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains basic of exploratory EDA data analysis in python keeping mind the basic steps of EDA analysis, using pandas and seaborn, matplotlib libraries. How to clean data, how to remove missing values, how to filter data, how to organize your data and then how to make initial plot with data. Learn Exploratory Data Analysis with Python in Hindi in today’s video! To keep up with the ever-evolving aspects of data and its domains, data handling and analysis has become crucial to understanding the information that comes attached to it. Exploratory data analysis uses various statistical and data visualization tools for the purpose of analyzing data to summarize its main characteristics, to make sense of the data, identify patterns and anomalies, test hypotheses and check assumptions. This course revolves around the basic concepts of using Python for Data Science in Urdu and Hindi language. The target audience for this course in Pakistani National working in data Science or the beginners who want to learn this complete course via registration process. You can register any time with the following link: https://forms.gle/cS4KCZ6veQ1LtpFB8 only if you are interested in this 40 days long course (python_ka_chilla with baba_aammar. More about me: I am Dr Aammar Tufail, your instructor in Python_ka_chilla. My aim is to train people in Data Science, machine learning, artificial intelligence, and deep learning by the end of the year (2022). If you are keen to learn from this complete course, then here is the playlist for the course: https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI If you want to learn Data Science with R here is the completed and uploaded course in urdu, link: https://youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS If you have any questions, you can always write in the comment section of the video, you have a question about. #DataScience #artificailIntelligence #deeplearning #machinelearning #python #python_ka_chilla #baba_aammar #pandas_in_python #pandas_library #exploratory_data_analysis # EDA analysis
