Description
Welcome to Python Data Analysis: Real World Applications. I am Zaviir Berry, your instructor for this comprehensive course. I hold a degree in Electrical and Computer Engineering from Rochester Institute of Technology where I specialized in artificial intelligence and its applications in analyzing live brain wave data to classify human motor functions. Since graduating in 2021, I have been working as a Software Engineer at a Fortune 100 company.
Throughout this course, you will:
- gain a solid understanding of the basics of Python programming
- learn how to work with datasets
- visualize data
- perform machine learning and statistical modeling techniques
We will delve into the essential components of model development, including:
- data preprocessing
- feature engineering
- model training
- evaluation
Upon completion of this course, participants will have acquired the skills necessary to effectively forecast insurance claim amounts and predict financial market trends using advanced machine learning techniques. They will be able to utilize patient characteristics, such as age, gender, Body Mass Index (BMI), and blood pressure, to make accurate predictions of insurance claim amounts. Additionally, they will be able to predict the closing price of the S&P 500 for the next day with a high degree of accuracy. The course also includes a comprehensive data preprocessing component, which enables participants to effectively prepare data for use in various machine learning techniques, including Linear and Logistic Regression. Furthermore, participants will be able to interpret the results of their models through the application of various evaluation metrics, such as accuracy, precision, and recall, which will allow them to make informed decisions based on their predictions.
