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𝙃4𝙘𝙠𝙇𝙚𝙖𝙧𝙣 𝙃𝙪𝙗

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𝐖𝐞 𝐀𝐫𝐞 𝐇𝐞𝐫𝐞 𝐅𝐨𝐫 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠

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741

𝗪𝗲𝗯 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝟭𝟮 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 • 𝟴𝟴𝗺𝗶𝗻

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s15 (1).pdf2.03 KB

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08. Training a Neural Network using Tensorflow on MNIST Dataset

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07. Understanding and visualizing MNIST Dataset

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06. Installing Tensorflow _

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05. Pytorch vs Tensorflow vs Keras

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04. Training a Perceptron using Scikit-learn

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03. Deep Learning - Common Terminology

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02. Perceptron - The Simplest Neural Network

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01. Introduction to Deep Learning and Neural Networks

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𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝟴. 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 • 𝟳𝟱𝗺𝗶𝗻

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sklearnmerged.pdf4.04 KB

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20. Conclusion and Wrapping up House Pricing Project

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19. Model Persistence and Inference with Joblib

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18. Training ML Algorithms on Preprocessed data

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17. ColumnTransformer and Consolidating the Pipeline

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16. Constructing Pipelines in sklearn

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15. Feature scaling in sklearn

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14. Handling Categorical values

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13. Scikit-learn's Design Principle