@@ -16,6 +16,7 @@ Explore, visualize and model SpaceX Falcon 9 launch data using a complete data s
16161 . Data wrangling
17172 . Exploratory data analysis
18183 . Implementing and evaluating ML models
19+ 4 . Summary and conclusions
1920
2021---
2122
@@ -27,26 +28,25 @@ Explore, visualize and model SpaceX Falcon 9 launch data using a complete data s
2728
2829---
2930
30- ## Sample visualizations
31+ ## What I learned throughout the project
3132
32- (TBD)
33+ - Structure and workflow of a data science pipeline.
34+ - Data collection and data wrangling methods.
35+ - Using Pandas for data manipulation and cleaning.
36+ - Using Matplotlib for exploratory data analysis and visualization.
37+ - Applying statistical analysis and machine learning to uncover hidden patterns.
38+ - Creating well-documented Github repositories with Jupyter notebooks.
3339
3440---
3541
36- ## What I learned throughout the project
42+ ## Next steps/future work
43+ - Expand the dataset to help the models generalize better.
44+ - Incorporate new features to reveal factors that haven't been considered yet.
45+ - Integrate additional data sources like weather conditions.
3746
38- - Structure and workflow of a data science pipeline
39- - Data collection and data wrangling methods
40- - Using Pandas for data manipulation and cleaning
41- - Using Matplotlib for exploratory data analysis and visualization
42- - Applying statistical analysis and machine learning to uncover hidden patterns
43- - Creating well-documented Github repositories with Jupyter notebooks
44-
45- ---
47+ --
4648
4749## Status
48- ✅ Educational project - completed
49-
50- 🗓️ Date: 24.05.2025
50+ ✅ Educational project - completed at 24.05.2025.
5151
52- 🗃️ In progress: creating the documentation and putting it all together
52+ ✅ Creating the documentation and putting it all together - completed at 31.05.2025.
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