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This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

License: MIT License

Jupyter Notebook 94.63% Python 5.37%
anomaly-detection artificial-neural-networks gradient-descent kmeans-clustering linear-regression logistic-regression multiple-linear-regression recommender-system regularization reinforcement-learning supervised-machine-learning tensorflow tree-ensemble unsupervised-machine-learning xgboost

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🎯 About Me :

I’m a curious-driven Data Science enthusiast who thrives on deciphering intricate data puzzles and transforming them into actionable insights. I am pursuing an MTech Degree in Data Science & Analytics. I have honed my proficiency and technical versatility in crafting Machine Learning and Deep Learning techniques while seamlessly integrating Statistics and Calculus.

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Made with ❤️  by Shantanu Umrani



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coursera-deeplearning.ai-stanford-university-machine-learning-specialization's Issues

Unsupervised Learning, Week 2 Practice Lab 2: Programming Assignment: Deep Learning for Content-Based Filtering

Hi,
Thank you very much for providing content for the Coursera course, you have been helping me a lot.
However, there is an issue I have been stuck at. It seems that the outline for the Content-Based Filtering practice lab has been changed and I am stuck in passing that lab.
I would be really grateful if you could help me further with that since it seems your input is outdated on that part.

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