In this project, you will be learning all the basics of machine learning, many libraries and modules in Python. Specifically, we will be learning algorithms for Data Analysis such as Polynomial Regression, Logistics Regression, Supervised Learning Techniques, KNN algorithm , Dendrograms etc. The application for the study is the Descriptive analytics of Car data after performing the Data Cleaning.
In this project, you will work on a Data cleaning using Python
In this project, you will be using python to obtain data from a file that contains information related to a CFD simulation of an engine. The data is provided in the form of columns for different engine parameters. Based on user input, this data is then obtained from the file by using string splitting methods and converting strings to numerical data and saved in variables. A data visualiser is created such that the relationship between any two variables in the file can be plot with each other. Additionally, an engine performance calculator is created that provides the engine parameters.
Newton Raphson method is an iterative solver that is used to find the roots of a given equation. In this project, we will be employing this method to solve for the minimum pressure required to break a sheet of ice and find the relationship between pressure and ice thickness. Additionally, we will also be studying how the relaxation factor affects the solution and how we can choose a relaxation factor.
In this project Adiabatic Flame Temperature(AFT) calculation will be performed using coding language Python and in-build Suite of Cantera. Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. So, the comparative analysis will be performed to compare the factors like time requirement, accuracy etc. The effect of number of carbon atoms on Adiabatic Flame Temperature will also be discussed.
This project focuses on the Data cleaning that is removing the unavailable data with meaningful data set. ML & AI helps to construct the Correlation Matrix to choose the Dominant parameters in the Data set. The Dominant characters are used in Predicting the Price of the Vehicle.
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Engineering students who are fresh out of college often struggle to meet the expectations of their employers. More often than not, this stems from a gap between the skills they learned in school and those that are required to make them competitive in the workplace. Skill-Lync, an edtech startup based out of Chennai, aims to bridge this gap.
Chennai-headquartered online learning startup Skill-Lync has launched a Masters course in Electric Vehicle Design and Simulation. The company says the new course is the first such curriculum in India, that focuses on electric vehicles. The fee of the EV course is around Rs 275,000, with the option of a full time or part-time duration. The startup provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world. With colleges shut and students looking to make the most of the time that they are at home the startup has fast-tracked the development of this program and releasing it amid Covid-19.
Skill-Lync started out as a YouTube channel to share engineering tips. Today, it is an online training course that caters to mostly non-software engineering students, which make up around 60 percent of the total engineers that graduate every year.
In an attempt to ensure that there is no hiatus in student education during the ongoing lockdown, Govt of India’s All India Council of Technical Education - NEAT announced partnership with Chennai based Edtech startup Skill-Lync. The global startup Skill-Lync is first-of-its-kind engineering technical education platform that provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world.