Udemy - NumPy, Pandas, Matplotlib in Python for Machine Learning

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[ DevCourseWeb.com ] Udemy - NumPy, Pandas, Matplotlib in Python for Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (21.4 MB)
    • 1. Introduction.srt (2.7 KB)
    2. NumPy
    • 1. Introduction.mp4 (6.0 MB)
    • 1. Introduction.srt (0.8 KB)
    • 10. Mathematical Operations.mp4 (11.4 MB)
    • 10. Mathematical Operations.srt (1.5 KB)
    • 11. Linear Algebra.mp4 (7.9 MB)
    • 11. Linear Algebra.srt (1.1 KB)
    • 12. Statistics.mp4 (6.4 MB)
    • 12. Statistics.srt (1.0 KB)
    • 13. Re-Organising NumPy Arrays.mp4 (14.0 MB)
    • 13. Re-Organising NumPy Arrays.srt (2.0 KB)
    • 14. Dealing With Files.mp4 (10.9 MB)
    • 14. Dealing With Files.srt (1.1 KB)
    • 15. Boolean Indexing.mp4 (7.5 MB)
    • 15. Boolean Indexing.srt (1.1 KB)
    • 16. String Operations.mp4 (18.5 MB)
    • 16. String Operations.srt (2.9 KB)
    • 17. Iterating NumPy Array.mp4 (7.0 MB)
    • 17. Iterating NumPy Array.srt (1.2 KB)
    • 18. Broadcasting.mp4 (25.0 MB)
    • 18. Broadcasting.srt (3.5 KB)
    • 2. What is NumPy.mp4 (9.9 MB)
    • 2. What is NumPy.srt (1.2 KB)
    • 3. Python List Vs NumPy.mp4 (7.2 MB)
    • 3. Python List Vs NumPy.srt (1.0 KB)
    • 4. Space & Execution Time Test.mp4 (15.6 MB)
    • 4. Space & Execution Time Test.srt (2.4 KB)
    • 5. Installing And Importing.mp4 (4.8 MB)
    • 5. Installing And Importing.srt (0.6 KB)
    • 6. Basics Of NumPy.mp4 (12.4 MB)
    • 6. Basics Of NumPy.srt (2.0 KB)
    • 7. Accessing And Slicing.mp4 (18.2 MB)
    • 7. Accessing And Slicing.srt (2.5 KB)
    • 8. Initializing NumPy Array.mp4 (17.7 MB)
    • 8. Initializing NumPy Array.srt (2.6 KB)
    • 9. Be Careful While Copying Variables!.mp4 (6.8 MB)
    • 9. Be Careful While Copying Variables!.srt (1.1 KB)
    3. Pandas
    • 1. Introduction.mp4 (4.6 MB)
    • 1. Introduction.srt (0.6 KB)
    • 10. Understanding the Variables.mp4 (8.4 MB)
    • 10. Understanding the Variables.srt (1.1 KB)
    • 11. Realtionship Between Continuous Variables.mp4 (8.6 MB)
    • 11. Realtionship Between Continuous Variables.srt (1.4 KB)
    • 12. Slicing, Selecting, Extracting.mp4 (17.9 MB)
    • 12. Slicing, Selecting, Extracting.srt (2.4 KB)
    • 13. Conditional Selection.mp4 (24.5 MB)
    • 13. Conditional Selection.srt (2.5 KB)
    • 14. Applying Functions.mp4 (10.9 MB)
    • 14. Applying Functions.srt (1.4 KB)
    • 15. Other Useful Functions.mp4 (13.0 MB)
    • 15. Other Useful Functions.srt (1.2 KB)
    • 2. What is Pandas.mp4 (8.6 MB)
    • 2. What is Pandas.srt (1.0 KB)
    • 3. Installing And Importing.mp4 (4.0 MB)
    • 3. Installing And Importing.srt (0.4 KB)
    • 4. Series And DataFrame.mp4 (14.8 MB)
    • 4. Series And DataFrame.srt (2.8 KB)
    • 5. Dealing with Files.mp4 (11.9 MB)
    • 5. Dealing with Files.srt (2.2 KB)
    • 6. DataFrame Operations.mp4 (27.1 MB)
    • 6. DataFrame Operations.srt (3.5 KB)
    • 7. Handling Duplicates.mp4 (20.2 MB)
    • 7. Handling Duplicates.srt (3.5 KB)
    • 8. Column Cleanup.mp4 (11.3 MB)
    • 8. Column Cleanup.srt (1.7 KB)
    • 9. Handling Missing Values.mp4 (33.8 MB)
    • 9. Handling Missing Values.srt (5.1 KB)
    4. Matplotlib
    • 1. Introduction.mp4 (4.8 MB)
    • 1. Introduction.srt (0.4 KB)
    • 10. SubPlots.mp4 (18.8 MB)
    • 10. SubPlots.srt (3.0 KB)
    • 2. What is Matplotlib.mp4 (7.0 MB)
    • 2. What is Matplotlib.srt (0.9 KB)
    • 3. Installing And Importing.mp4 (6.3 MB)
    • 3. Installing And Importing.srt (0.5 KB)
    • 4. Bar Plots.mp4 (17.8 MB)
    • 4. Bar Plots.srt (2.4 KB)
    • 5. Pie Charts.mp4 (9.2 MB)
    • 5. Pie Charts.srt (1.2 KB)
    • 6. BoxPlots.mp4 (12.5 MB)
    • 6. BoxPlots.srt (1.9 KB)
    • 7. Histograms.mp4 (17.8 MB)
    • 7. Histograms.srt (2.7 KB)
    • 8. Line Plots.mp4 (12.1 MB)
    • 8. Line Plots.srt (1.6 KB)
    • 9. Scatter Plots.mp4 (5.4 MB)
    • 9. Scatter Plots.srt (0.7 KB)
    5. Practice
    • 1. Let's Practice.mp4 (10.8 MB)
    • 1. Let's Practice.srt (2.2 KB)
    • Bonus Resources.txt (0.3 KB)

Description

NumPy, Pandas, Matplotlib in Python for Machine Learning



https://DevCourseWeb.com

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 570 MB
Genre: eLearning Video | Duration: 49 lectures (1 hour, 46 mins) | Language: English
Learn NumPy, Pandas, Matplotlib in Python for Machine Learning and Data Science in an engaging and exciting way
What you'll learn

Go from absolute beginner to become a confident Python NumPy, Pandas and Matplotlib user
Student will learn Data Visualization techniques using matplotlib
Students will get practical hands on with real world data
Students will learn various data preprocessing techniques using pandas
With more than 50+ exercise questions provided along with course, we will help students to master these libraries

Course content
5 sections • 49 lectures • 1h 46m total length

Requirements



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Udemy - NumPy, Pandas, Matplotlib in Python for Machine Learning
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