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Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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Jupyter Notebooks for Springer book Python for Probability, Statistics, and Machine Learning
NOTE: Second edition updated for Python 3.6+ is now available with corresponding Jupyter Notebooks
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This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
70/100 healthCheck for the availability of a book in a store using in books.toscrape using Beautiful Soup, python code, Jupyter Notebook.
27/100 healthArjun-Parmani /
BookVault is a **Book Recommendation System** that suggests books to users based on collaborative filtering and popularity. The project includes both a **Jupyter Notebook (EDA + Model Building)** and an interactive **Streamlit Web App** for book recommendations.
34/100 healthVignesh-1981 /
This Jupyter Notebook analyzes data to create a book recommendation system. It reads data on books, user ratings, and user information, then cleans and merges the data to prepare for a recommendation engine.
44/100 healthjustOmarMoamen /
A docker image for jupyter notebook that performs data preprocessing and data cleaning on a csv file called "books.csv" that contains information about some Book Serieses. The python code is focused on analyzing the Harry Potter Series out of the csv file
15/100 healthBhav1299 /
This is my final assignment submission for Tool for Data Science by IBM as part of the IBM Data Science Professional Certificate
27/100 health