This is your efficient #EDA tutorial in #Python with #pandas, by a senior #datascientist.
Curiosity is one of the most important skills a #datascientist must have, they say... But curiosity is nothing if you can't summarize your findings and define a roadmap for what are the next steps to take.
Data exploration or #ExploratoryDataAnalysiscan can become a neverending process without structure and an agile mindset.
Follow me as I perform exploratory data analysis on the Heart Failure Prediction Dataset from #Kaggle, using Python.
By the end I'll:
summarize the findings,
define some potential questions to be answered with the data and
list the next steps to take.

Content:
0:00 Introduction
4:00 Problem statement
5:41 Load data from csv with pandas DataFrame
6:31 Dataset structure Analysis
8:51 Missing values analysis
15:45 Removing duplicated rows from a pandas DataFrame
16:02 Casting columns data types in pandas DataFrame
18:29 String preprocessing in pandas DataFrame
22:21 Understand the data with visualizations
30:43 Correlation matrix on pandas DataFrame
34:27 Summary of the #dataanalysis
36:04 #Subscribe! :)

Download the DATA here: https://github.com/giraffaanalytics/...
#datascience #machinelearning #python #ai