PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Python for Data Science Master NumPy & Pandas on Real Data\8. Project on GDP |
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1. The 5 Steps of Data Science.mp4 | 82,971 KB | 12/12/2021 3:34 AM |
1. The 5 Steps of Data Science.srt | 8 KB | 12/12/2021 3:34 AM |
10. Dealing with NaN.mp4 | 114,782 KB | 12/12/2021 3:34 AM |
10. Dealing with NaN.srt | 10 KB | 12/12/2021 3:34 AM |
11. Dealing with NaN.html | 1 KB | 12/12/2021 3:34 AM |
12. Using GeoPandas (preparation to visualize).mp4 | 93,566 KB | 12/12/2021 3:34 AM |
12. Using GeoPandas (preparation to visualize).srt | 9 KB | 12/12/2021 3:34 AM |
13. Coding Exercise GeoPandas.html | 1 KB | 12/12/2021 3:34 AM |
13.1 ChoroplethMaps.py | 1 KB | 12/12/2021 3:34 AM |
14. Understand the challenge to join (or merge) the data.mp4 | 107,532 KB | 12/12/2021 3:34 AM |
14. Understand the challenge to join (or merge) the data.srt | 9 KB | 12/12/2021 3:34 AM |
15. Join the datasets.mp4 | 96,110 KB | 12/12/2021 3:34 AM |
15. Join the datasets.srt | 9 KB | 12/12/2021 3:34 AM |
16. Coding Exercise Join the datasets.html | 1 KB | 12/12/2021 3:34 AM |
16.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
16.2 GDPProject.py | 1 KB | 12/12/2021 3:34 AM |
17. Change index names to full dataset.mp4 | 82,613 KB | 12/12/2021 3:34 AM |
17. Change index names to full dataset.srt | 7 KB | 12/12/2021 3:34 AM |
18. Coding Exercise Change index names to full dataset.html | 1 KB | 12/12/2021 3:34 AM |
18.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
18.2 GDPProject.py | 1 KB | 12/12/2021 3:34 AM |
19. How to find discrepancies and deal with them.mp4 | 118,262 KB | 12/12/2021 3:34 AM |
19. How to find discrepancies and deal with them.srt | 9 KB | 12/12/2021 3:34 AM |
2. Inspect the GDP data and load the CSV into a DataFrame (Pandas).mp4 | 165,758 KB | 12/12/2021 3:34 AM |
2. Inspect the GDP data and load the CSV into a DataFrame (Pandas).srt | 15 KB | 12/12/2021 3:34 AM |
2.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
20. Coding Exercise How to find discrepancies and deal with them.html | 1 KB | 12/12/2021 3:34 AM |
20.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
20.2 GDPProject.py | 2 KB | 12/12/2021 3:34 AM |
21. Comments in code and change to 2000-2019.mp4 | 110,055 KB | 12/12/2021 3:34 AM |
21. Comments in code and change to 2000-2019.srt | 11 KB | 12/12/2021 3:34 AM |
22. Coding Exercise Change to 2000-2019.html | 1 KB | 12/12/2021 3:34 AM |
22.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
22.2 GDPProject.py | 2 KB | 12/12/2021 3:34 AM |
23. Adding a legend and adjust the size.mp4 | 75,619 KB | 12/12/2021 3:34 AM |
23. Adding a legend and adjust the size.srt | 7 KB | 12/12/2021 3:34 AM |
24. Coding Exercise Adding a legend and adjust the size.html | 1 KB | 12/12/2021 3:34 AM |
24.1 GDPProject.py | 2 KB | 12/12/2021 3:34 AM |
24.2 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
25. Computing and visualizing growth per capita.mp4 | 89,912 KB | 12/12/2021 3:34 AM |
25. Computing and visualizing growth per capita.srt | 7 KB | 12/12/2021 3:34 AM |
26. Coding Exercise Computing and visualizing growth per capita.html | 1 KB | 12/12/2021 3:34 AM |
26.1 gdp_world_data.csv | 45 KB | 12/12/2021 3:34 AM |
26.2 GDPProject.py | 2 KB | 12/12/2021 3:34 AM |
3. Load the CSV into a DataFrame.html | 1 KB | 12/12/2021 3:34 AM |
4. Remove unnamed column and set index to be Country Name.mp4 | 71,623 KB | 12/12/2021 3:34 AM |
4. Remove unnamed column and set index to be Country Name.srt | 6 KB | 12/12/2021 3:34 AM |
5. Remove unnamed column and set index to be Country Name.html | 1 KB | 12/12/2021 3:34 AM |
6. Enrich the data with growth rates.mp4 | 153,788 KB | 12/12/2021 3:34 AM |
6. Enrich the data with growth rates.srt | 13 KB | 12/12/2021 3:34 AM |
7. Enrich the data with growth rates.html | 1 KB | 12/12/2021 3:34 AM |
8. Create a view of the needed columns.mp4 | 71,484 KB | 12/12/2021 3:34 AM |
8. Create a view of the needed columns.srt | 6 KB | 12/12/2021 3:34 AM |
9. Create a view of the needed columns.html | 1 KB | 12/12/2021 3:34 AM |