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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9. Create a view of the needed columns.html1 KB12/12/2021 3:34 AM
8. Create a view of the needed columns.srt6 KB12/12/2021 3:34 AM
8. Create a view of the needed columns.mp471,484 KB12/12/2021 3:34 AM
7. Enrich the data with growth rates.html1 KB12/12/2021 3:34 AM
6. Enrich the data with growth rates.srt13 KB12/12/2021 3:34 AM
6. Enrich the data with growth rates.mp4153,788 KB12/12/2021 3:34 AM
5. Remove unnamed column and set index to be Country Name.html1 KB12/12/2021 3:34 AM
4. Remove unnamed column and set index to be Country Name.srt6 KB12/12/2021 3:34 AM
4. Remove unnamed column and set index to be Country Name.mp471,623 KB12/12/2021 3:34 AM
3. Load the CSV into a DataFrame.html1 KB12/12/2021 3:34 AM
26.2 GDPProject.py2 KB12/12/2021 3:34 AM
26.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
26. Coding Exercise Computing and visualizing growth per capita.html1 KB12/12/2021 3:34 AM
25. Computing and visualizing growth per capita.srt7 KB12/12/2021 3:34 AM
25. Computing and visualizing growth per capita.mp489,912 KB12/12/2021 3:34 AM
24.2 gdp_world_data.csv45 KB12/12/2021 3:34 AM
24.1 GDPProject.py2 KB12/12/2021 3:34 AM
24. Coding Exercise Adding a legend and adjust the size.html1 KB12/12/2021 3:34 AM
23. Adding a legend and adjust the size.srt7 KB12/12/2021 3:34 AM
23. Adding a legend and adjust the size.mp475,619 KB12/12/2021 3:34 AM
22.2 GDPProject.py2 KB12/12/2021 3:34 AM
22.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
22. Coding Exercise Change to 2000-2019.html1 KB12/12/2021 3:34 AM
21. Comments in code and change to 2000-2019.srt11 KB12/12/2021 3:34 AM
21. Comments in code and change to 2000-2019.mp4110,055 KB12/12/2021 3:34 AM
20.2 GDPProject.py2 KB12/12/2021 3:34 AM
20.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
20. Coding Exercise How to find discrepancies and deal with them.html1 KB12/12/2021 3:34 AM
2.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
2. Inspect the GDP data and load the CSV into a DataFrame (Pandas).srt15 KB12/12/2021 3:34 AM
2. Inspect the GDP data and load the CSV into a DataFrame (Pandas).mp4165,758 KB12/12/2021 3:34 AM
19. How to find discrepancies and deal with them.srt9 KB12/12/2021 3:34 AM
19. How to find discrepancies and deal with them.mp4118,262 KB12/12/2021 3:34 AM
18.2 GDPProject.py1 KB12/12/2021 3:34 AM
18.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
18. Coding Exercise Change index names to full dataset.html1 KB12/12/2021 3:34 AM
17. Change index names to full dataset.srt7 KB12/12/2021 3:34 AM
17. Change index names to full dataset.mp482,613 KB12/12/2021 3:34 AM
16.2 GDPProject.py1 KB12/12/2021 3:34 AM
16.1 gdp_world_data.csv45 KB12/12/2021 3:34 AM
16. Coding Exercise Join the datasets.html1 KB12/12/2021 3:34 AM
15. Join the datasets.srt9 KB12/12/2021 3:34 AM
15. Join the datasets.mp496,110 KB12/12/2021 3:34 AM
14. Understand the challenge to join (or merge) the data.srt9 KB12/12/2021 3:34 AM
14. Understand the challenge to join (or merge) the data.mp4107,532 KB12/12/2021 3:34 AM
13.1 ChoroplethMaps.py1 KB12/12/2021 3:34 AM
13. Coding Exercise GeoPandas.html1 KB12/12/2021 3:34 AM
12. Using GeoPandas (preparation to visualize).srt9 KB12/12/2021 3:34 AM
12. Using GeoPandas (preparation to visualize).mp493,566 KB12/12/2021 3:34 AM
11. Dealing with NaN.html1 KB12/12/2021 3:34 AM
10. Dealing with NaN.srt10 KB12/12/2021 3:34 AM
10. Dealing with NaN.mp4114,782 KB12/12/2021 3:34 AM
1. The 5 Steps of Data Science.srt8 KB12/12/2021 3:34 AM
1. The 5 Steps of Data Science.mp482,971 KB12/12/2021 3:34 AM