| 1. Introduction.mp4 | 4.8 MB | ||
| 1. Introduction.srt | 409.6 B | ||
| 1. Let's Practice.mp4 | 10.8 MB | ||
| 1. Let's Practice.srt | 2.2 KB | ||
| 10. Mathematical Operations.mp4 | 11.4 MB | ||
| 10. Mathematical Operations.srt | 1.5 KB | ||
| 10. SubPlots.mp4 | 18.8 MB | ||
| 10. SubPlots.srt | 3 KB | ||
| 10. Understanding the Variables.mp4 | 8.4 MB | ||
| 10. Understanding the Variables.srt | 1.1 KB | ||
| 11. Linear Algebra.mp4 | 7.9 MB | ||
| 11. Linear Algebra.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 | ||
| 12. Statistics.mp4 | 6.4 MB | ||
| 12. Statistics.srt | 1 KB | ||
| 13. Conditional Selection.mp4 | 24.5 MB | ||
| 13. Conditional Selection.srt | 2.5 KB | ||
| 13. Re-Organising NumPy Arrays.mp4 | 14 MB | ||
| 13. Re-Organising NumPy Arrays.srt | 2 KB | ||
| 14. Applying Functions.mp4 | 10.9 MB | ||
| 14. Applying Functions.srt | 1.4 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 | ||
| 15. Other Useful Functions.mp4 | 13 MB | ||
| 15. Other Useful Functions.srt | 1.2 KB | ||
| 16. String Operations.mp4 | 18.5 MB | ||
| 16. String Operations.srt | 2.9 KB | ||
| 17. Iterating NumPy Array.mp4 | 7 MB | ||
| 17. Iterating NumPy Array.srt | 1.2 KB | ||
| 18. Broadcasting.mp4 | 25 MB | ||
| 18. Broadcasting.srt | 3.5 KB | ||
| 2. What is Matplotlib.mp4 | 7 MB | ||
| 2. What is Matplotlib.srt | 921.6 B | ||
| 2. What is NumPy.mp4 | 9.9 MB | ||
| 2. What is NumPy.srt | 1.2 KB | ||
| 2. What is Pandas.mp4 | 8.6 MB | ||
| 2. What is Pandas.srt | 1 KB | ||
| 3. Installing And Importing.mp4 | 6.3 MB | ||
| 3. Installing And Importing.srt | 512 B | ||
| 3. Python List Vs NumPy.mp4 | 7.2 MB | ||
| 3. Python List Vs NumPy.srt | 1 KB | ||
| 4. Bar Plots.mp4 | 17.8 MB | ||
| 4. Bar Plots.srt | 2.4 KB | ||
| 4. Series And DataFrame.mp4 | 14.8 MB | ||
| 4. Series And DataFrame.srt | 2.8 KB | ||
| 4. Space & Execution Time Test.mp4 | 15.6 MB | ||
| 4. Space & Execution Time Test.srt | 2.4 KB | ||
| 5. Dealing with Files.mp4 | 11.9 MB | ||
| 5. Dealing with Files.srt | 2.2 KB | ||
| 5. Installing And Importing.mp4 | 4.8 MB | ||
| 5. Installing And Importing.srt | 614.4 B | ||
| 5. Pie Charts.mp4 | 9.2 MB | ||
| 5. Pie Charts.srt | 1.2 KB | ||
| 6. Basics Of NumPy.mp4 | 12.4 MB | ||
| 6. Basics Of NumPy.srt | 2 KB | ||
| 6. BoxPlots.mp4 | 12.5 MB | ||
| 6. BoxPlots.srt | 1.9 KB | ||
| 6. DataFrame Operations.mp4 | 27.1 MB | ||
| 6. DataFrame Operations.srt | 3.5 KB | ||
| 7. Accessing And Slicing.mp4 | 18.2 MB | ||
| 7. Accessing And Slicing.srt | 2.5 KB | ||
| 7. Handling Duplicates.mp4 | 20.2 MB | ||
| 7. Handling Duplicates.srt | 3.5 KB | ||
| 7. Histograms.mp4 | 17.8 MB | ||
| 7. Histograms.srt | 2.7 KB | ||
| 8. Column Cleanup.mp4 | 11.3 MB | ||
| 8. Column Cleanup.srt | 1.7 KB | ||
| 8. Initializing NumPy Array.mp4 | 17.7 MB | ||
| 8. Initializing NumPy Array.srt | 2.6 KB | ||
| 8. Line Plots.mp4 | 12.1 MB | ||
| 8. Line Plots.srt | 1.6 KB | ||
| 9. Be Careful While Copying Variables!.mp4 | 6.8 MB | ||
| 9. Be Careful While Copying Variables!.srt | 1.1 KB | ||
| 9. Handling Missing Values.mp4 | 33.8 MB | ||
| 9. Handling Missing Values.srt | 5.1 KB | ||
| 9. Scatter Plots.mp4 | 5.4 MB | ||
| 9. Scatter Plots.srt | 716.8 B | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 92 total files | |||
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and NumPy Posted by
freecoursewb in Other
|
2.4 GB | freecoursewb | 4 months | 14 | 4 |
| 1.4 GB | freecoursewb | 5 months | 3 | 0 | |
| 1.4 GB | freecoursewb | 5 months | 9 | 0 | |
| 2.8 GB | freecoursewb | 1 year | 0 | 1 | |
| 1.1 GB | freecoursewb | 2 years | 2 | 0 |
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