06. Logistic Regression - Part 01.zip
211.7 MB
06. Logistic Regression - Part 01
06. Logistic Regression - Part 02.zip
215.9 MB
06. Logistic Regression - Part 02
06. Logistic Regression - Part 03.zip
89.6 MB
06. Logistic Regression - Part 03
07. Google Causal Impact - Part 01.zip
240.5 MB
07. Google Causal Impact - Part 01
07. Google Causal Impact - Part 02.zip
219.4 MB
07. Google Causal Impact - Part 02
07. Google Causal Impact - Part 03.zip
244.8 MB
07. Google Causal Impact - Part 03
07. Google Causal Impact - Part 04.zip
39 MB
07. Google Causal Impact - Part 04
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08. Matching - Part 01.zip
246.8 MB
08. Matching - Part 01
08. Matching - Part 02.zip
217.2 MB
08. Matching - Part 02
08. Matching - Part 03.zip
165.1 MB
08. Matching - Part 03
08. Matching - Part 04.zip
114 MB
08. Matching - Part 04
09. RFM Analysis - Part 01.zip
232.4 MB
09. RFM Analysis - Part 01
09. RFM Analysis - Part 02.zip
130.4 MB
09. RFM Analysis - Part 02
10. Gaussian Mixture - Part 01.zip
216.7 MB
10. Gaussian Mixture - Part 01
10. Gaussian Mixture - Part 02.zip
204.6 MB
10. Gaussian Mixture - Part 02
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11. Random Forest - Part 01.zip
232.9 MB
11. Random Forest - Part 01
11. Random Forest - Part 02.zip
207.5 MB
11. Random Forest - Part 02
12. Facebook Prophet - Part 01.zip
214.1 MB
12. Facebook Prophet - Part 01
12. Facebook Prophet - Part 02.zip
235.9 MB
12. Facebook Prophet - Part 02
12. Facebook Prophet - Part 03.zip
194.4 MB
12. Facebook Prophet - Part 03
12. Facebook Prophet - Part 04.zip
181.9 MB
12. Facebook Prophet - Part 04
12. Facebook Prophet - Part 05.zip
237.3 MB
12. Facebook Prophet - Part 05
12. Facebook Prophet - Part 06.zip
15.2 MB
12. Facebook Prophet - Part 06
13. Where To Go From Here.zip
16.7 MB
13. Where To Go From Here
Course Materials.zip
29.2 MB
Course Materials
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🔰 Python Basics for Data Science Free Course Coupon [Free]
What you’ll learn
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
What Python is and why it is useful
The application of Python to Data Science
How to define variables in Python
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What you’ll learn
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
What Python is and why it is useful
The application of Python to Data Science
How to define variables in Python
Sets and conditional statements in Python
The purpose of having functions in Python
How to operate on files to read and write data in Python
How to use pandas, a must have package for anyone attempting data analysis in Python.
Coupon Enrollment: https://www.edx.org/course/python-basics-for-data-science
✅ By: https://t.me/LearnPython3
More likes 👍 => more courses
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