𝙃4𝙘𝙠𝙇𝙚𝙖𝙧𝙣 𝙃𝙪𝙗

𝗪𝗲𝗯 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝟭𝟮 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 • 𝟴𝟴𝗺𝗶𝗻

08. Training a Neural Network using Tensorflow on MNIST Dataset

07. Understanding and visualizing MNIST Dataset

06. Installing Tensorflow _

05. Pytorch vs Tensorflow vs Keras

04. Training a Perceptron using Scikit-learn

03. Deep Learning - Common Terminology

02. Perceptron - The Simplest Neural Network

01. Introduction to Deep Learning and Neural Networks

𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝟴. 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 • 𝟳𝟱𝗺𝗶𝗻

20. Conclusion and Wrapping up House Pricing Project

19. Model Persistence and Inference with Joblib

18. Training ML Algorithms on Preprocessed data

17. ColumnTransformer and Consolidating the Pipeline

16. Constructing Pipelines in sklearn

15. Feature scaling in sklearn

14. Handling Categorical values

13. Scikit-learn's Design Principle