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Master Python data preprocessing techniques for machine learning, including handling missing values, encoding, scaling, outlier detection, and data transformation using popular libraries.
Learn to deploy and manage containerized applications on Azure using Kubernetes, covering cluster setup, Docker containers, and Git integration.
Explore essential matrix and vector operations for machine learning and deep learning using Python, covering creation, manipulation, and mathematical computations.
Learn to extract data from CSV files and databases, use scikit-learn for dataset manipulation, and simulate various types of machine learning data in Python.
Comprehensive hands-on tutorial series covering Azure cloud services, Hadoop, Spark, and machine learning, with practical demos and step-by-step guidance for various Azure tools and technologies.
Learn Azure Virtual Network essentials including Vnet peering, route tables, and public IP creation for certification preparation.
Learn Azure Storage essentials, including access keys, secure signatures, Storage Explorer, and replication strategies for robust cloud data management.
Comprehensive bootcamp covering machine learning and deep learning, from data extraction to model evaluation, using Python, Scikit-learn, and Spark MLlib.
Comprehensive tutorials on deep learning and neural networks, covering key concepts, architectures, and practical implementation using TensorFlow and Google Colab.
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. It will cover Tokenization, Stop Words and Word Embedding.
Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.
Explore augmented reality through hands-on Unity projects. Learn to create, manipulate 3D objects, add physics, and deploy AR apps on smartphones using Vuforia.
Comprehensive hands-on introduction to data engineering, covering data lake architecture, Cloudera tools, Apache Sqoop, and practical HDFS and MySQL operations.
Learn to implement YOLO v4 for object detection: from image labeling and dataset creation to model training and custom object detection, with hands-on coding and practical applications.
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