Mindblown: a blog about philosophy.
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How IoT Works?
Concretely, a sensor placed on a physical device transmits data on the latter’s state. This data will be fed back using a wireless network on IoT platforms. They will then be processed and enriched. To corroborate the correct functioning of the sensor, it is necessary to ensure the choice of its components (the microcontroller, the…
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What is Internet of Things (IoT)?
IoT is among the hottest technologies in this era of digital transformation. As the name describes, the Internet of Things means connecting objects or things to the internet using a network of sensors, software, and modern technologies. Let’s understand what is IoT technology in simple words with an example of its usage. The common things…
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12. Credit Card Fraud Detection Dataset
The dataset contains transactions made by credit cards, they are labeled as fraudulent or genuine. This is important for companies that have transaction systems to build a model for detecting fraudulent activities. 12.2 Data Science Project Idea: Implement different algorithms like decision trees, logistic regression, and artificial neural networks to see which gives better accuracy. Compare…
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10. Uber Pickups Dataset
The dataset has information of about 4.5 million uber pickups in New York City from April 2014 to September 2014 and 14million more from January 2015 to June 2015. Users can perform data analysis and gather insights from the data. 10.1 Data Link: Uber pickups dataset 10.2 Data Science Project Idea: To analyze the data of the…
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7. SOCR data – Heights and Weights Dataset
This is a simple dataset to start with. It contains only the height (inches) and weights (pounds) of 25,000 different humans of 18 years of age. This dataset can be used to build a model that can predict the heights or weights of a human. 7.1 Data Link: Heights & weights dataset 7.2 Data Science Project…
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4. The Boston Housing Dataset
This is a popular dataset used in pattern recognition. It contains information about the different houses in Boston based on crime rate, tax, number of rooms, etc. It has 506 rows and 14 different variables in columns. You can use this dataset to predict house prices. 4.1 Data Link: Boston dataset 4.2 Data Science Project Idea: Predict…
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Machine Learning Datasets
These are the datasets that you will probably use while working on any data science or machine learning project: 1. Mall Customers Dataset The Mall customers dataset contains information about people visiting the mall. The dataset has gender, customer id, age, annual income, and spending score. It collects insights from the data and group customers…
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Hydro-turbomachines and thermal turbomachines
Turbomachinery refers to systems that transfer energy between a rotor and a fluid, such as turbines and compressors. Turbines transfer energy from a fluid to a rotor, while a compressor does the opposite, transferring energy from a rotor to a fluid. Centrifugal pumps transfer energy from a rotor to a fluid, which is usually a…
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Refrigeration and air conditioning
The goal of this branch of thermal engineering is to address the current challenges of refrigeration and air conditioning, such as designing and installing more efficient cooling systems. Engineers work to reduce energy consumed and heat released into the environment, creating better, greener systems. Thermal engineers in this specialization may work on developing water-based cooling…
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Combustion engineering
This branch of thermal engineering is concerned with how the science of combustion applies to industrial systems. Engineers in this field may plan and implement combustion equipment, test and design energy-burning systems and even develop new technology in environmentally sustainable fuel consumption. This type of engineering is one of the suppliers of steam power for…
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