Description
Data Cleaning in Python, the data cleaning training course in Python has been published by Udemy Academy. Data cleaning is very important from the point of view of building intelligent automated systems. Data cleaning is a pre-processing step that improves the validity, accuracy, completeness, consistency and uniformity of data. This is necessary to build reliable machine learning models that can produce good results. Otherwise, no matter how good the model is, its results cannot be trusted. Beginners with machine learning start working with publicly available data sets that are thoroughly analyzed with such problems, so they are ready to work on training models and getting good results. But in the real world, these data are far from what they are. Common data problems may include missing values, noise values ββor univariate outliers, multivariate outliers, duplicate data.
Data sets that are raw and have all these issues, without knowing the data cleaning and pre-processing steps, we cannot benefit from them. Data obtained directly from multiple online sources to build useful applications is even more prone to such problems. Therefore, learning data cleaning skills will help users perform useful analysis with their business data. Otherwise, the phrase “garbage in garbage out” refers to the fact that without sorting out the problems in the data, no matter how efficient the model, the results will be unreliable.
What you will learn
- Data cleaning is a pre-processing step to make data more consistent and improve quality before training predictive models.
Who is this course suitable for?
- Target students, beginners in data science and machine learning
Details of Data Cleaning in Python course
- Publisher: Udemy
- teacher : Taimoor khan
- English language
- Education level: Introductory
- Number of courses: 65
- Training duration: 5 hours and 43 minutes
Chapters of Data Cleaning in Python course
Course prerequisites
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.73 GB
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