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Frequently Asked Questions
Cranes is one of the best institutes to start a career with, especially when the focus is completely on Embedded Domain. If one has a good percentage in academics and aspiration to start a career in Embedded systems, CRANES is an institute to rely upon completely.
Professional Diploma training, Corporate training, Working professional training, University/College training, Online training and other certification courses.
1 : Embedded Systems: Comprehensive courses covering microcontrollers, embedded C, real-time operating systems, and hardware design.
2 : Internet of Things (IoT): Training on building IoT applications, sensor networks, cloud integration, and data analytics.
3 : VLSI Design: Courses in digital and analog VLSI design, FPGA programming, and verification techniques.
4 : Data Science and Analytics: Training on data analysis, machine learning, and predictive modeling.
5 : Business Analytics : Applications that aid in data analysis, visualization, and reporting, such as Tableau, Power BI, R, Python, Excel, etc.
The detailed syllabus for each of the courses offered at Cranes Varsity is available on the courses page of their official website. The syllabus provides a comprehensive overview of the topics covered in each course, giving prospective students a clear understanding of what they can expect to learn during their training. This information includes specific subjects, modules, and practical components that form an integral part of the curriculum. By visiting the courses page, interested individuals can access in-depth information about the content and structure of each program, helping them make informed decisions about which course aligns best with their interests and career goals.
Yes, The data science courses using Python at Cranes Varsity typically cover topics such as:
1 : Python programming fundamentals.
2 : Data manipulation and cleaning using libraries like Pandas.
3 : Data visualization with Matplotlib and Seaborn.
4 : Statistical analysis and hypothesis testing.
5 : Machine learning algorithms and techniques.
6 : Model evaluation and validation.
7 : Feature engineering and selection.
8 : Introduction to deep learning and neural networks (if applicable).
9 : Practical projects and hands-on exercises to apply learned concepts
Yes, Online courses at Cranes Varsity typically include interactive lectures, video tutorials, practical exercises, and assessments. Students can access course materials through a learning management system and engage with instructors and fellow learners through online forums or virtual classrooms.
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Mastering Linear Regression – A Comprehensive Guide for AI and Machine Learning Enthusiasts
Linear regression is a fundamental concept in the field of artificial intelligence (AI) and machine learning (ML). It serves as a foundational building block for various predictive modeling techniques. In this technical blog, we will delve into the intricacies of linear regression, its mathematical underpinnings, applications, and some practical insights.