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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 69.8 MB
02. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 57.1 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 40.6 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
03. Python Variables and Data Types/1. Variables.mp4 27.9 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19.7 MB
02. Introduction to programming with Python/3. Why Python.mp4 16.4 MB
16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 16.1 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.9 MB
02. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15.6 MB
02. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 14.2 MB
01. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.7 MB
02. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.9 MB
14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12.2 MB
14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.4 MB
12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.3 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 11.1 MB

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【其他】 Beginning Data Visualization with R

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【影视】 [ FreeCourseWeb.com ] Skillshare - Data Visualization with Microsoft Power BI

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【影视】 [ CourseWikia.com ] Udemy - Alternatives To Data Scientists - Enrolled Agent

收录时间:2024-02-18 文档个数:12 文档大小:594.3 MB 最近下载:2025-05-15 人气:499 磁力链接

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【其他】 Infographic How To Data, Design, Distribute

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【影视】 [FreeTutorials.Us] Udemy - oracle-12c-data-guard-administration

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01 Introducing the Course/001 Introducing the Course.mp4 12.6 MB
01 Introducing the Course/001 Introducing the Course-subtitle-en.vtt 7.4 kB
01 Introducing the Course/002 Installing-Oracle-Database-12c-R1-on-Linux-6-with-ASM.pdf 3.1 MB
01 Introducing the Course/002 Practice_ Create an Oracle 12c Database with ASM (part 1).mp4 51.5 MB
01 Introducing the Course/002 Practice_ Create an Oracle 12c Database with ASM (part 1)-subtitle-en.vtt 11.9 kB
01 Introducing the Course/003 Practice_ Create an Oracle 12c Database with ASM (part 2).mp4 56.8 MB
01 Introducing the Course/003 Practice_ Create an Oracle 12c Database with ASM (part 2)-subtitle-en.vtt 11.5 kB
01 Introducing the Course/004 Practice_ Create an Oracle 12c Database with ASM (part 3).mp4 28.2 MB
01 Introducing the Course/004 Practice_ Create an Oracle 12c Database with ASM (part 3)-subtitle-en.vtt 8.9 kB
02 Introduction to Oracle Data Guard/005 Introduction to Oracle Data Guard.mp4 24.1 MB
02 Introduction to Oracle Data Guard/005 Introduction to Oracle Data Guard-subtitle-en.vtt 13.2 kB
02 Introduction to Oracle Data Guard/006 Data Guard Basic Concepts ( Part 1 ).mp4 25.2 MB
02 Introduction to Oracle Data Guard/006 Data Guard Basic Concepts ( Part 1 )-subtitle-en.vtt 16.0 kB
02 Introduction to Oracle Data Guard/007 Data Guard Basic Concepts ( Part 2 ).mp4 20.8 MB
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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
15. Data Visualization with R/2. Histograms.mp4 59.7 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
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