#python #dataScience #statistics #baba_aammar

Complete playlist for machine learning ka chilla is here: https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW


if you are interested to learn basic to intermediate python for data science here is the playlist:
https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI
You can join Telegram group from here:
https://t.me/+R_QuSxdyn344Zjg0

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.
#machinelearning
#python
#python_ka_chilla
#baba_aammar
#pandas_in_python
#pandas_library
#exploratory_data_analysis
# EDA analysis

Chapter in this lecture:
00:00:00 Data Agyaa ab kia?
00:04:08 1 Data shape
00:06:20 2 Data structure
00:08:32 3 Find missing values
00:11:48 4 Split variables/Feature Engineering
00:15:55 5 Type casting
00:19:41 6 Summary statistics
00:20:24 7 Value count/unique values
00:22:56 8 Deal with duplicates/NANs
00:25:25 9 Check the normal distribution
00:30:14 10 Correlation
00:32:17 Reading insights (VIP)