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[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
Elasticsearch with BERT for advanced document search.
A complete computer science study plan to become a software engineer.
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Data Science Using Python
Cheat Sheets
For extensive instructor led learning
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
List of papers, code and experiments using deep learning for time series forecasting
A really fast document ranking engine using BM25 and TF-IDF. Based on Python using NLP packages NLTK and spacY.
My solution to the book A Collection of Data Science Take-Home Challenges
Full Stack Data Science in Python
Mainly on text documents. Implemented a Mini Search Engine using different algorithms and then summaried documents using lexrank.
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Model to accurately forecast inventory demand based on historical sales data.
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Demand Forecasting Models for Kaggle competition
MachineLearningSamples-EnergyDemandTimeSeriesForecasting
Applying Data Science and Machine Learning to Solve Real World Business Problems
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Forecasting Uber demand in NYC neighborhoods
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.