Data Analysis in Pandas & Scikit-learn For Machine Learning
Ditulis pada: April 30, 2020
Data Analysis in Pandas & Scikit-learn For Machine Learning, Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python
- Created by Ankit Mistry, Data Science & Machine Learning Academy by Ankit Mistry
- English
- English [Auto-generated]
PREVIEW THIS COURSE - GET COUPON CODE
What you'll learn
- Update your resume with one of the in demand skill : Data analysis Pandas
- Setting up Python in anaconda environment
- Refresh Python basics with crash course
- Learn Most demanded python data analysis library : Pandas
- Three important data structure of pandas : Series, Data Frame, Panel
- Learn how to analyse one, two and three dimensional data
- How to group Data for analysis
- How to deal with Text Data with Pandas Functions
- Analyse data having multiple level index.
- Array and Matrix manipulation Library NumPy
- Master pandas with quizzes.
- Data Visualization Matplotlib and Seaborn Library
- Importing data from various different kinds of sources
- Complete Machine Learning work flow implementation with Scikit-learn
More Courses by Rupak Roy
Implement 2020 edition data science algorithms without a single line of coding in Excel & R: The Silicon Valley Way
includes sentiment analysis,frequent words used and their clusters, topic modeling, network mapping, prediction and more
Full guide to implementing HDFS, Hive, Pig, Sqoop, Flume even Oozie to automate the work flow of hive, pig, sqoop etc