Allenhanbo
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All Algorithms implemented in Python
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
COVID-19 tweets geo and sentiment analyses
This is the capstone project of Udacity DSND. As part of this, one churn prediction system is built using pyspark.
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
Leetcode solutions in C++, C#, Python, Java, Scala, JS, Kotlin, Go, etc
A Kafka client that fetches tweets using Twitter Streaming API and sends them to Kafka.
Methods of data exploration and visualization using Python 🐍
An overview and exploration of the concept of missing datasets.
Infuse AI into your application. Create and deploy a customer churn prediction model with IBM Cloud Private for Data, Db2 Warehouse, Spark MLlib, and Jupyter notebooks.
前端面试每日 3+1，以面试题来驱动学习，提倡每日学习与思考，每天进步一点！每天早上5点纯手工发布面试题（死磕自己，愉悦大家），6000+道前端面试题全面覆盖，HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能……
此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Udacity Data Scientist Nanodegree Capstone Project
Using Spark machine learning to predict churn for the Sparkify service
Lending Club Data Loan Default Prediction
Yelp Challenge For Content-based, Collaborative Filtering and Hybrid Recommendation System
Working with and analyzing Wikipedia Data
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…
Applying machine learning to predict loan charge-offs on LendingClub.com
Lending Club Loan data analysis
Big Data Engineering practice project, including ETL with Airflow and Spark using AWS S3 and EMR