Exploratory Data Analysis(EDA) With Python | Exploratory Data Analysis Python Project | Simplilearn
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This Video on Exploratory Data Analysis With Python by simplilearn will help you learn about the basics of data analysis, types of data analysis, Initial Data Analysis and exploratory data analysis. Proceeding ahead, we will learn about jupyter notebook and important python data analysis libraries like NumPy, Pandas, SeaBorn, SciKitLearn, MatPlotLib, and many more. We will perform the Data Feature Engineering, Data Modelling, Data model evaluation. Proceeding ahead, we will import data and begin with the python EDA(Exploratory Data Analysis)
Following are the Topics Covered:
00:00:00 Introduction to Python Exploratory Data Analysis
00:03:10 Types of Data Analysis
00:03:35 Inital Data Analysis
00:05:10 Exploratory Data Analysis in Python
00:06:35 Step in Wxploratory Data Analysis in Python
00:08:00 Students Performance Data Analysis with Python
00:12:05 !pip Install
00:13:50 Import Data Analysis Libraries in Python
00:15:10 Feature Engineering
00:16:00 Data Modelling
00:15:45 Model Evaluation
00:17:45 Importing Data
00:19:05 DF.SHAPE
00:19:30 DF.HEAD
00:19:50 DF.DUPLICATED.SUM()
00:20:20 DF.ISNULL().SUM()
00:22:10 MatPlotLib
00:23:10 Data Cleaning
00:24:10 DESCRIBE()
00:30:10 Exploratory Data Analysis in Python
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