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Articles by Steven Loaiza
Data Scientist Toolkit - Introduction to SQL
Example 1. Remove Duplicate Email self-joindelete Task: Remove duplicate emails, keeping the one with the smallest Id. The expected result is to return rows 1 and 2. Source: Steven Loaiza Breakdown: These tasks can be partitioned into two parts. Find the duplicates Delete it from the table We can join the table onto itself where the emails match.
Gradient Descent - A Powerful Optimization tool for Data Scientist
· Editors' PicksFeaturesExploreContribute An intuitive explanation of a widely used tool in Data Science. We will explore the algorithm as well as some of its disadvantages and possible solutions. Photo by Michael Dziedzic on Unsplash In Data Science there are machine learning models that make predictions about a particular topic, such as fraud, the price of a house, the cost of an insurance claim, etc.
Passing the Data Science Take Home Project in 7 Easy Steps
Start with why. Why would this project be important and who benefits from a well-defined model and solution? Why does the company care? Take the opportunity to showcase your ability to identify the business need for the data challenge. Usually, the company will give you a topic related to their business. This is your chance as a Data Scientist to bound the project to a meaningful story. Example (Fraud Case Model): As a credit card provider it is important to have safeguards in place to battle fraud.
Entropy and Information Gain
Yet another tool used to make Decision Tree splits. Photo by Jake Blucker on Unsplash Information Gain is yet another method that can also be used to optimally choose which feature to split the data set on. Before we go on to learn about Information gain, we must first discuss Entropy, which was introduced by Shannon(1948).
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