Learn Python, NumPy, Pandas, Scikit-learn, TensorFlow 2.0, Keras, Regression, Classification, SVM, Decision Trees, Random Forests, Ensemble Learning, Dimensionality Reduction, Unsupervised Learning, Convolutional and Recurrent Neural Networks, Natural Language Processing, Autoencoders, Generative Adversarial Networks, Reinforcement Learning and More
Learn artificial intelligence technologies that have the potential to transform organizations through improved customer service, streamlined operations, and the realization of new business models.
Learn DevOps Tools - Linux, Git, Docker, Kubernetes, Ansible, Terraform, Jenkins, and Graffana. Training will cover all the stages of the software development lifecycle.
Learn what Artificial Intelligence (AI) is by understanding its key concepts, applications, and process.Without prior Programming Experience
This "AI for Managers" course is designed exclusively for managers (project managers, CXO's, directors, VP's, senior managers, team leads, etc.) with our unique cloud lab access.
Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning, Git, Docker, Kubernetes, Ansible, Terraform, Jenkins, and Graffana.
2 years degree program approved by UGC. Program managed by REVA Academy for Corporate Excellence in collaboration with CloudxLab
Understand the functioning of modern financial markets and their interaction with other pillars of a financial system. Learn to invest using modern techniques such as Artificial Intelligence and Machine Learning.
Welcome to this project on Churning the Emails Inbox with Python. In this project, you will use Python to access the data from files and process it to achieve certain tasks. You will explore the MBox email dataset, and use Python to count lines, headers, subject lines by emails and domains. Know your way on how to work with data in Python.
Skills you will develop:
Welcome to this project on Image Classification with Pre-trained InceptionV3 Network. This project aims to impart the knowledge of how to access the pre-trained models(here we get pre-trained Inception model) from Keras of TensorFlow 2, and appreciate its powerful classification capacity by making the model predict the class of an input image.
Understanding the pre-trained models is very important because this forms the basis of transfer learning. one of the most appreciated techniques to perform the classification of a different task thus reducing the training time, the number of iterations, and resource consumption. Learning about the pre-trained models and …
A gentle introduction to Artificial Neural Networks. Know more about perceptrons, backpropagation, and build an image classifier with Keras.
Learn more about Analytics and Data Science, probability, normal distribution, variance, data cleaning, feature scaling, standardization from industry experts.
