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Prodramp's beginner-friendly tutorial helps you create your first Convolutional Neural Network in Python, covering Convolution, Pooling, Flatten, and Dropout with visual examples.
Beginner-friendly tutorial by Prodramp, teaching how to build your first Perceptron and Feed Forward Network in Python using Keras and TensorFlow, in under an hour.
Beginner-friendly tutorial by Prodramp, teaching creation and visualization of a neural network using Keras and TensorFlow, with no prior knowledge required.
Prodramp's short tutorial helps you understand and visualize deep learning neural networks, covering data preparation, network creation, model compilation, and network visualization.
Learn to speed up your Pandas workflows with Modin in this under 1-hour tutorial by Prodramp. The tutorial includes dataset loading, processing comparisons, and technical details.
Learn to build a wildfire showcase using public satellite data with Prodramp. Master Chakra UI layouts and geo-spatial data mapping in a 2-hour tutorial.
Learn to predict wildfire hotspots using data engineering, visualization, and machine learning with Prodramp's tutorial. Utilize NASA data, create datasets, and build ML models.
Learn to collect global wildfire data, create datasets, visualize with mapboxgl, matplotlib, and Kepler.gl, and predict hotspots using ML with Prodramp's 1-2 hour tutorial.
Learn to deploy Python apps on AWS EC2 with Supervisor as a service in under an hour with Prodramp. Gain skills in Python 3.9 installation, app setup, and supervisord configuration.
Explore machine learning pipelines, MLOps, model registry, and feature store in less than an hour with Prodramp. Gain insights into AutoML, blending, and ML observability.
Learn to build a Python application with Prodramp, using Streamlit and Deepchecks for data validation. This under 1-hour tutorial includes a complete application demo and coding.
Explore the evolution of machine learning infrastructure with Prodramp's visual mind-map video. In under an hour, learn about data preparation, model validation, deployment, and more.
Learn to develop test suites for machine learning models and data using Deepchecks in under an hour with Prodramp. Gain skills in data validation, custom test writing, and model analysis.
Learn to build a music analytics app using Python, Streamlit, and Spotify API with Prodramp. This hands-on lab covers Spotify library integration, song recommendation, and more in 1-2 hours.
Learn to develop a music analytics app using Spotify API and Python with Prodramp. Understand audio features, track analysis, and use Spotipy library in under an hour.
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