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Statistically Insignificant

Statistically Insignificant

Trying, Failing, and Sometimes Succeeding at Data Science

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Hello!

My name is Chi Wang and I’m an aspiring data nerd from Alberta, Canada! I’m a consultant at Deloitte Canada by day, and a complete mess by night usually experimenting with music, playing basketball, or tinkering with machine learning. This blog aims to sharpen my data science skills by trying, failing, and sometimes succeeding!

Projects

  • 1. All-NBA Predict (32)
  • 2. Music Genre Clustering (7)
  • 3. Edmonton Property Assessment (5)
  • 4. Chi / Larissa Face Detection (18)
  • 5. NYPD Crime (20)

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Category: 3. Edmonton Property Assessment

Edmonton Property Assessment #1 – Intro

Yello Hello! My name is Chi, and this is my third set of posts on this blog. In my last post, I looked at machine learning models that could differentiate between genres of music. If you’ve read any of my previous posts, you would’ve already had the understanding that I have no understanding of data […]

Read More Edmonton Property Assessment #1 – Intro

Edmonton Property Assessment #5 – Building A Regression Model (K-NN)

I’m extremely happy with how gradient boosting turned out in my last post. I think I’ve just had xgboost on the brain… since it’s worked so well in my last 2 projects. KNN should’ve been the first thing that came to my head when I thought about this haha. I don’t think I’ve actually done […]

Read More Edmonton Property Assessment #5 – Building A Regression Model (K-NN)

Edmonton Property Assessment #4 – Building A Regression Model (Gradient Boosting)

Okay, so I’ve gotten to explore the data set a little bit, statistically and spatially. I now want to built a model. With the model, I’m not necessarily trying to predict anything, but I almost want to use regression as a means for data exploration and data visualization as well. In the ideal world, I’d […]

Read More Edmonton Property Assessment #4 – Building A Regression Model (Gradient Boosting)

Edmonton Property Assessment #3 – Geographical Mapping

In the last post, I looked at the most valued neighbourhoods in the city by average assessed value. We were coming across neighbourhoods like “Uplands”, “Decoteau”, and “Aster”… where are these neighbourhoods? I have no clue to be honest. I can’t even say I’ve heard of these neighbourhoods or anything resembling their names. “Decoteau”? I […]

Read More Edmonton Property Assessment #3 – Geographical Mapping

Edmonton Property Assessment #2 – Exploring Property Assessment Dataset

Getting the Data Getting the data was quite simple. The Edmonton Open Data portal has a Property Assessment page. I’ve downloaded the dataset into the data folder of this project. Loading the Data Let’s fire it up into pandas and check out a few data points! InĀ [1]: # Enable plots in the notebook %matplotlib inline […]

Read More Edmonton Property Assessment #2 – Exploring Property Assessment Dataset
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