Statistic Essential

Statistics is the science of assigning a probability to an event based on experiments

Statistics is the science of assigning a probability to an event based on experiments. It is the application of quantitative principles to the collection, analysis, and presentation of numerical data. Ace the fundamentals of Data Science, statistics, and Machine Learning with this course. It will enable you to define statistics and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, distribution. You will be able to make data-driven predictions through statistical inference.

Data Science

Kickstart your learning of Python for Data Science with this introductory course

This program has been developed by industry experts to help you learn real-world application of Data Science from scratch and build powerful models to generate useful business insights and predictions. This program has been designed for fresh graduates and early career professionals looking to build their career in Data Science & analytics. Kickstart your learning of Python for Data Science with this introductory course and familiarize yourself with programming.upon completion of this course you will be able to write your Python scripts, perform fundamental hands-on data analysis using the Jupyter- based lab environment, and create your own Data Science projects

Image Processing

We are going to learn how we can perform image processing using the Python language

It is important to know what exactly image processing is and what is its role in the bigger picture before diving into its how's. Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'. Don't be confused - we are going to talk about both of these terms and how they connect. Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing, the output is also an image, whereas in computer vision the output can be some features/information about the image.

Machine Learning

Machine Learning course will make you an expert in Machine Learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine Learning course will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for your role with advanced Machine Learning knowledge.

Deep Learning

Deep Learning with Tensorflow

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems. Master the concepts of deep learning and TensorFlow to build artificial neural networks and traverse layers of data abstraction. This course will help you learn to unlock the power of data and prepare you for new horizons in AI. TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The Professional teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.

Tensorflow And Keras

Dealing with Tensorflow And Keras

Tensorflow is the most used library used in development of Deep Learning models. The community of TensorFlow is extremely vast and supportive, especially because it’s an open-sourced platform. The number of commits and forks on the GitHub repository of TensorFlow are enough to let you understand the widespread popularity of the framework. However, it is not that easy to work with. Keras, on the other end, is a high-level API that is built on top of TensorFlow. It is extremely user-friendly and comparatively easier than TensorFlow.

Advanced Deep Learning and Computer Vision

Deep Learning is Large Neural Networks

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. deep learning skills with this high-level course. This Advanced Deep Learning and Computer Vision course covers real applications of computer vision, generative-adversarial networks (GANs), distributed and parallel computing with GPUs, and deployment of deep learning models on cloud.

Natural Language Processing

Natural Language Processing is the technology used to aid computers to understand the human’s natural language

Natural Language Processing course will give you a detailed look at the science behind applying Machine Learning algorithms to process large amounts of natural language data. You will learn the concepts of Natural Language understanding, Feature Engineering, Natural Language Generation, Speech Recognition techniques.

Live Project

We Provide Hands On Experience In Our Live Projects