Duration: 4h 8m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 945 MB
Genre: eLearning | Language: English
Data Preprocessing using Python with Pandas Library is an excellent choice for both bners and experts looking to expand their knowledge in Data Analysis field.
No prior knowledge or experience required. Only a person who is keen to be successful!
Data Analysis is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories, and hypotheses.
We offer in-depth video tutorials in which we'll dive into tons of different datasets, short and long, broken and pristine. we'll take you step-by-step through Data Preprocessing process using the most powerful python library Pandas.tutorials include:
Installing.
Creating.
Accessing.
Applying arithmetic operations.
Reindexing.
Slicing.
Tidying up.
Handling missing data.
Handling duplicated data.
Concatenating.
Grouping.
Aggregating.
deleting.
and more!
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