Bifalgorithm post

Everybody thinks you need machine learning projects in your portfolio. Well, you don't. Here are three beginner-friendly portfolio projects that you can use to showcase your real-world data skills. Use this Airbnb Open Data to simulate A/B tests. Write SQL to compare two groups, analyze Lyft and build a simple dashboard like this one. Use this 311 Complaint Data from New York City's Open Data website to do a data cleaning and wrangling project. This data is messy, it's huge, it's full of issues, which is perfect to use pandas to clean it up and visualize complaint trends by geographic areas. Lastly, use this Toronto Backshare data to track bike availabilities and build a dashboard using streamlet and folium. If you need a step-by-step tutorial, I have this exact project on YouTube and GitHub repo for you to follow. Happy coding. reporting.

Everybody thinks you need machine learning projects in your portfolio. Well, you don't. Here are three beginner-friendly portfolio projects that you can use to…

Ideas in this flowchart

  • Portfolio Projects for Data Skills
  • Project 1: Airbnb A/B Testing
  • Use Airbnb Open Data
  • Simulate A/B Tests
  • Write SQL to Compare Groups
  • Analyze Lyft Data
  • Build Simple Dashboard
  • Project 2: NYC 311 Complaint Data
  • Use NYC Open Data
  • Data Cleaning and Wrangling
  • Use Pandas for Cleaning
  • Visualize Complaint Trends
  • Project 3: Toronto Bike Share Data
  • Track Bike Availabilities
  • Build Dashboard with Streamlit and Folium
  • Tutorial on YouTube and GitHub
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Everybody thinks you need machine learning projects in your portfolio. Well, you don't. Here are three beginner-friendly portfolio projects that you can use to showcase your real-world data skills. Use this Airbnb Open Data to simulate A/B tests. Write SQL to compare two groups, analyze Lyft and build a simple dashboard like this one. Use this 311 Complaint Data from New York City's Open Data website to do a data cleaning and wrangling project. This data is messy, it's huge, it's full of issues, which is perfect to use pandas to clean it up and visualize complaint trends by geographic areas. Lastly, use this Toronto Backshare data to track bike availabilities and build a dashboard using streamlet and folium. If you need a step-by-step tutorial, I have this exact project on YouTube and GitHub repo for you to follow. Happy coding. reporting.

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Amélie Lavoie
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"Everybody thinks you need machine learning projects in your portfolio."

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