Tanner Tucker

Features are the quantifiable characteristics of an object or phenomenon in data science and machine learning. They make up a dataset's columns, with each row denoting an observation. They are also referred to as variables or attributes. For example, elements in a housing dataset can include the age of the property, the number of bedrooms, and the square footage. These qualities are essential for developing predictive models because they enable algorithms to spot trends and generate precise forecasts. However, for the best model performance, characteristics must be standardized because they frequently have disparate scales and units. A method for scaling features to a common range, usually between 0 and 1, is called normalization. By ensuring that each feature makes an equal contribution to the learning process, this transformation keeps one feature from taking over the model because of its size. Additionally, it decreases numerical instability, increases interpretability, and impr...

Key Python programming ideas centered on data manipulation with control structures like loops and conditional statements were introduced in this reading. I discovered that while while loops keep running as long as a condition is true, for loops are helpful for repeating a block of code a predetermined number of times. Writing flexible and interactive code requires the use of conditional expressions, such as if and if-else, which enable the program to make decisions based on conditions. The significance of indentation in Python was also underlined in the reading, since it guarantees error-free code execution.  Through practical activities, I also learnt how to apply these concepts. For instance, I designed a program to distinguish between even and odd numbers, practiced writing loops to print numbers from 1 to 10, and constructed a guessing game that incorporates conditionals, loops, and user input. The usefulness of Python's adaptability in managing data and user interactions was f...

My name is Tanner Tucker, and I am a senior majoring in social media marketing. Before focusing on my studies, I played football here at Benedictine University, which was a good experience that taught me the value of hard work, discipline, and teamwork. I'm excited to apply those same skills in the marketing field and learn more throughout this class. I'm looking forward to connecting with all of you and working together this semester!