Machine Learning

Developing machine learning predictive models from time-series data is an important skill in Data Science. While the time element in the data provides valuable information for your model, it can also lead you down a path that could fool you into something that isn’t real. Follow this example to learn how to spot trouble in time series data before it’s too late. Time series forecasting is an important area of machine learning. It is important because there are so many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems more difficult to handle compared to many other prediction tasks. Time series data, as the name indicates, differ from other types of data in the sense that the temporal aspect is important. On a positive note, this gives us additional information that can be used when building our machine learning model — that not only the input features contain useful information, but ...

Introduction What profession did Harvard call the Sexiest Job of the 21st Century ? That’s right… the data scientist . Ah yes, the ever-mysterious data scientist. So what exactly is the data scientist’s secret sauce, and what does this “sexy” person do at work every day? This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose since there isn’t a standardized definition of the data scientist role, and given that the ideal experience and skill set are relatively rare to find in one individual. This definition can be further confused by the fact that there are other roles sometimes thought of as the same, but are often quite different. Some of these include data analyst , data engineer , and so on. More on that later. A data scientist’s level of experience and knowledge in each often varies along a scale ranging from beginner, to proficient , and to...

With this intermediate-level Python project, we will be making a drowsiness detecting device. A countless number of people drive on the highway day and night. Taxi drivers, bus drivers, truck drivers and people traveling long-distance suffer from lack of sleep. Due to which it becomes very dangerous to drive when feeling sleepy. The majority of accidents happen due to the drowsiness of the driver. So, to prevent these accidents we will build a system using Python, OpenCV, and Keras which will alert the driver when he feels sleepy. Intermediate Python Project on Drowsy Driver Alert System Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected. Driver Drowsiness Detection System — Abou...