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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
A Practical Approach to Timeseries Forecasting using Python, published by Packt
Code repository for the online course "Feature Engineering for Time Series Forecasting".
Time Series Analysis with Python 3.x [Video], published by Packt
B21145 - Deep Learning for Time Series Data Cookbook
Source Code for 'Beginning Apache Spark 3' by Hien Luu
Modern Time Series Forecasting with Python, published by Packt
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
Time Series Analysis with Python Cookbook, published by Packt
This repository will contain the code associated to the scripts I've been writing in my medium articles
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
SwiftUI Cookbook (2nd Edition), published by Packt
This repository is a compilation of free resources for learning Data Science.
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Production Machine Learning Pipeline for Text Classification with fastText
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
Cartopy - a cartographic python library with matplotlib support
Statistical Methods & Applied Mathematics in Data Science, Published by Packt
Ipython notebooks for math and finance tutorials
📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Working with and analyzing Wikipedia Data