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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.
Prodramp's short online tutorial demystifies the often overlooked Python concept of '__name__ == __main__' through technical examples, helping learners use it effectively.
Learn to implement the Bloom Large Language Text Generation Model in Google Colab with Prodramp's hands-on tutorial, solving common errors along the way.
Learn to deploy your ML model using Python's Gradio library on Google Colab, with hands-on experience using the JoJoGAN face style transfer model. Offered by Prodramp.
Learn to use JoJoGAN for one-shot face stylization, including model saving, exporting, and deployment, in under an hour with Prodramp.
Learn to use JoJoGAN for one-shot face stylization with Prodramp's tutorial. Understand StyleGAN theory, code walkthrough on Google Colab, and model deployment. Less than 1hr workload.
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