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Introduction to Programming 4.42 (203 Ratings) This comprehensive course on ‘Intro to Programming’ covers all the basic and advanced concepts related to programming. You will get a conceptual understanding of basics in programming such as Flow control Statements, Functions and Object-Oriented Programming. Learn…
his Certificate Course, offered by 361 Degree Minds, educates about various principles and theories involved in using Core Java. This course prepares students to meet the vast requirements of professionals having suitable qualification as well as exposure in using Core Java. You…
This course is delivered through a series of LIVE sessions which covers the basics of Data Structures & Algorithms in Java, one of the most popular programming languages in the world. In this course, you will start with the concepts of time…
Introduction to Information Security 4.4 (158 Ratings) In this course you will be introduced to basic concepts of information security. You will also get to understand some of the areas and domains where information security is being used and also be exposed to…
Introduction to Full Stack Development 4.6 (325 Ratings) This course will introduce you to frameworks that will help you to become a full stack developer. You will be introduced to HTML basics such as how to create and deploy forms, tables and also…
This comprehensive course on Digital image processing is all about understanding and implementing models based on neural networks. Learn some basic concepts such as data augmentation, image processing using neural networks and its implementation from scratch using python libraries. Understand the essential…
Computer Vision Essentials 4.47 (220 Ratings) Skills covered Working with Images Convolution Pooling Transfer learning Convolutional Neural Networks Course Syllabus Computer Vision Essentials Working with Images_Introduction Working with Images – Digitization, Sampling, and Quantization Working with images – Filtering Introduction to Convolutions 2D…
Machine Learning Foundations in R Skills covered Baiscs of Machine learning Clustering concepts Course Syllabus Machine Learning Foundations in R Overview of machine learning Technologies of clustering Hierarchical clustering k Means clustering Clustering in R Market basket analysis Market basket analysis in…
Machine Learning Foundations 4.57 (875 Ratings) About this course Machine learning uses two types of techniques: one is supervised learning which trains a model on known input and output data so that it can predict future outputs. The second called unsupervised learning finds…
About this course An understanding of basic statistical concepts provides a strong foundation for further learning in the fields of data analysis, data science and even some areas of machine learning. This course covers the basics of descriptive statistics, and teaches you…