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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

forecasting_with_r_practices

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

friendlychat-web

The source for the Firebase codelab for building a cross-platform chat app

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

Though I have used Github to search help and look for some geeks' works, I have not officially create any repository on it. This would be my first git-work! Have fun gitting !

leetcode_database

This is the repo to record what I have completed in Leetcode DATABASE problems. Hope to grow my SQL skill set.

machine-learning

machine_learning_workshop

I created this repo in order to keep track of what I have achieved by attending those wonderful ML Meetup groups with some great enthusiastic data dreamers.

mindsdb

Framework to streamline use of neural networks

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

stanford_nlp_with_deep_learning_course_assginemtns

I am following the Stanford YouTube open course cs 224 NLP with deep learning course which I find is really informative. Thus, I create this to share with those are interested in as well.

statistical-analysis-using-gltr-harvardnlp-

I am testing GLTR model with text prediction on various text like journalism, TV program transcripts, and books'exerpts.

text_analytics_python

Hi, I am interested in NLP, following TensorFlow Tutorials, I am doing this Text classification with TensorFlow Hub on movie reviews

xinxin-lai-time_series_forecasting_with_r-

These are some exercise I completed by following books from Prof. Rob J Hyndman and George Athanasopoulos

xinxin-lai.github.io

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