Uploaded January 2021 | Updated September 2026, 1 week ago
In this 3 part series, I walk you through how I approach a data science project, specifically a kaggle competition. You will get to see me work through the kaggle developer survey kaggle competition from start to finish.
In Part 1 I show you how I:
- Join the competition
- Read through the documentation
- Understand the evaluation criteria
- Download the data (good video on this: youtube.com/watch?v=gkEbaMgvLs8&ab_channel=DecisionForest)
- Review other people's kaggle kernels
- Frame the questions that I want to ask of the data
In Part 2 (youtube.com/watch?v=KQ80oD_boBM&feature=youtu.be&ab_channel=KenJee) I will use some different tools to visualize some of the data
In Part 3 (youtube.com/watch?v=GO420aMtHfk&ab_channel=KenJee) I will seek to answer some of the questions that I have posed in Part 1 and Part 2
#DataScience #KenJee #66DaysOfData
Kaggle API: kaggle.com/docs/api
Notebooks Referenced:
- kaggle.com/subinium/kaggle-2020-visualization-analysis
- kaggle.com/spitfire2nd/enthusiast-to-data-professional-what-changes
- kaggle.com/dwin183287/kagglers-seen-by-continents
- kaggle.com/michau96/education-level-affects-data-analysis
- kaggle.com/chandramanaha/kyc-know-your-community
- kaggle.com/ahmedatta/who-said-data-science-is-boring
Relevant Videos:
What is 66 days of data? youtube.com/watch?v=qV_AlRwhI3I&t=6s&ab_channel=KenJee
Project from scratch: youtube.com/playlist?list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t
Titanic Kaggle Project: youtube.com/watch?v=I3FBJdiExcg&ab_channel=KenJee
0:00 Overview
2:00 How to Join a Competition
2:30 Understand Documentation
4:00 Start Looking at the Data
5:00 Download the Data
8:00 Looking Questions
10:12 Learning from other Kernels
12:30 Designing Questions For Next Steps
#datascience #KenJee #projects
⭕ Subscribe: youtube.com/c/kenjee1?sub_confirmation=1
🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
In this 3 part series, I walk you through how I approach a data science project, specifically a kaggle competition. You will get to see me work through the kaggle developer survey kaggle competition from start to finish.
In Part 1 I show you how I:
- Join the competition
- Read through the documentation
- Understand the evaluation criteria
- Download the data (good video on this: youtube.com/watch?v=gkEbaMgvLs8&ab_channel=DecisionForest)
- Review other people's kaggle kernels
- Frame the questions that I want to ask of the data
In Part 2 (youtube.com/watch?v=KQ80oD_boBM&feature=youtu.be&ab_channel=KenJee) I will use some different tools to visualize some of the data
In Part 3 (youtube.com/watch?v=GO420aMtHfk&ab_channel=KenJee) I will seek to answer some of the questions that I have posed in Part 1 and Part 2
#DataScience #KenJee #66DaysOfData
Kaggle API: kaggle.com/docs/api
Notebooks Referenced:
- kaggle.com/subinium/kaggle-2020-visualization-analysis
- kaggle.com/spitfire2nd/enthusiast-to-data-professional-what-changes
- kaggle.com/dwin183287/kagglers-seen-by-continents
- kaggle.com/michau96/education-level-affects-data-analysis
- kaggle.com/chandramanaha/kyc-know-your-community
- kaggle.com/ahmedatta/who-said-data-science-is-boring
Relevant Videos:
What is 66 days of data? youtube.com/watch?v=qV_AlRwhI3I&t=6s&ab_channel=KenJee
Project from scratch: youtube.com/playlist?list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t
Titanic Kaggle Project: youtube.com/watch?v=I3FBJdiExcg&ab_channel=KenJee
0:00 Overview
2:00 How to Join a Competition
2:30 Understand Documentation
4:00 Start Looking at the Data
5:00 Download the Data
8:00 Looking Questions
10:12 Learning from other Kernels
12:30 Designing Questions For Next Steps
#datascience #KenJee #projects
⭕ Subscribe: youtube.com/c/kenjee1?sub_confirmation=1
🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
