Photo by Adrian Trinkaus on Unsplash

Office Hours

Closing the Circle on My Data Science Saga

Hello everyone, it’s been a while. For those of you who have been following along my journey through Data Science Boot Camp, this will be the final chapter in the current stage of my Data Science journey. Hopefully, it won’t be the last blog I post, but I wanted to share with you this last step in my journey.

Two years ago, in August of 2018, I was laid off from my job as a Financial Planner and Sales Consultant at UBS. After a year of realizing it was going to be difficult to find my way into another company…

A Real World Test of My Used Car Price Predictor That Anyone Can Use

Hello everyone, long time no see! A few months ago, you may have come across my blog where I discussed using Linear Regression to build a model to predict the price of a used car. If you missed it, you can find it here.

To catch you all up, I used Linear Regression to build a model that predicted the price of a used car based off its year, mileage, fuel efficiency and if it was a luxury vehicle. It was cool, but having no prior experience with car purchasing or car ownership, I could only test my model against…

Photo by Ricardo Arce on Unsplash

Part 2!

Last week we did a brief overview of ProPublica’s NYPD files, which detailed citizen complaints against the NYPD. I’ve compiled a few more graphs for people to peruse through.

As before, I am displaying simple graphs of the data I’ve gone through. I am drawing no conclusions nor making any statement of opinion. If you wish to see some of them in more detail, I will make the available in my github repo at the end of the page.

To start, I”m going to show you an annotated timeline of the complaints data. This is similar to my last one…

Photo by ev on Unsplash

An Initial Run Through

ProPublica recently released The NYPD Files, a database of records listing complaints filed against members of the NYPD from 1999–2020. This was a highly controversial move, as NYC Police, Firefighters, and Corrections Officers Unions are currently suing the state to keep these records secret. In any case, ProPublica has made this data public for their own reasons, and as a data enthusiast, I thought reviewing this data and analyzing it would serve both myself and the public some good. You can read more about it here, and access the database here.

The following are a few simple graphs I’ve created…

Hello everyone, I hope you’re all well. Today we’re going to be talking about normal distributions, their purpose, and what they mean. Distributions in general are an important component to statistics, and their analysis is frequently utilized in Data Science. It is also frequently used in areas such as finance, engineering, and medicine. Basically, any field that uses numbers, taps into statistics, and uses distributions to a certain extent.

Let’s start from the beginning then. What’s a normal distribution?

That’s a normal distribution, whoooo so fancy right? It is also known as a Gaussian distribution or a bell curve. In…

What Iterrows are and how you can start using them today

Hello everyone, today we’re going to be going over some basic Pandas work. As I mentioned in a previous blog, Pandas has become an essential part of any Data Scientist or Data Analysts toolkit. It is a relatively low memory, multifunctional tool that allows us to view, analyze and manipulate data in the Python environment. It also plugs in easily to many current linear regression and machine learning libraries so its got that going for it as well!

Throughout your work as a Data Scientist or Data Analyst, you will find yourself doing what’s known as “janitorial” work. In fact…

Photo by Kunal Kalra on Unsplash

Hello everyone, a few months ago, I described my early experiences working with Python and how difficult I found it. That was only the FIRST week of my Data Science journey at Flatiron School, and it left me intensely despondent about my future in the Data Science field. I stuck it out, and what really turned it around for me starting SQL the following week.

To me SQL made sense, I didn’t have to wrap my mind around interpreting data structures and building loops to access subsequent layers or addressing index locations. …

Photo by Nick Fewings on Unsplash

Trees Are Your Friend

Let’s talk about Bayes’ Theorem. Bayes’ Theorem is a simple probability formula that is both versatile and powerful. It has been hailed as the hot new thing in Machine Learning and Data Science until Neural Networks came along and played the Kim Kardashian to Bayes’ Paris Hilton. What’s particularly interesting about Bayes’ Theorem compared to other Machine Learning techniques is that the formula itself is almost 200 years old, whereas other forms of machine learning generally have a, let’s say younger vintage.

Probability can be a confusing field to wander through, and you have to have the mental capacity to…

Photo by Henry & Co. on Unsplash

Featuring my cats!

In my last post, I talked about the Confusion Matrix and its importance in helping us determine the accuracy of our models. This week we’ll take a look at the basic structure of Confusion Matrices and how they help us determine the accuracy of our models.

Let’s Start From the Beginning…

As I mentioned in my last post, Confusion Matrixes are credited to Karl Pearson back in 1904, although for him it was the contingency table. They have been popular for statistical classification and machine learning and enable us to visually represent the performance of our classifier. A confusion matrix is a type of contingency…

Part 12!

Hello Hello everyone. Welcome to my hard hitting expose on what its like inside Flatiron School! Haha just kidding. I hope you all realize that I’m writing this so those you who are considering pursuing a career in Data Science and want to join a boot camp to do so can make an informed decision on what’s involved. I want to take a moment and go over what I’ve learned for those of you just joining.

Credit: Andrea Sutinen. Source:

The first month we were learning programming, not to be super software engineers, but because Python and SQL are the method by which we…

Hamilton Chang

Data Scientist, Financial Planner. Trying to educate and make information accessible to EVERYONE. Let’s Connect!

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store