dujijundavid
Data Scientist, 5G as a Service at Betacom - AIOps Department, focusing on Anomaly Detection and Recommendation Engine.
BetacomBellevue
Pinned Repositories
Agora
Analytical_skills-tips
Includes learning, reviews from Online tutorial materials.
Anomaly_Detection
Stores my project and research about conducting anomaly detection to network data.
Credit_Risk_Modeling
Databricks-DavidDu
Previous functions and Runable Scripts written on Databricks platform.
E-Commence
Developing a marketing program targeted to dormant one time buyers on platform to incentivize them to purchase again. Improve the program with machine learning models by at least 80%, with over 2GBs of training data processed on single machine. Implement classification models including Lasso logistic regression and Random Forest with cross validation optimization. Using R&SQL for data importing, cleaning and reprocessing, model testing and optimization.
Home_Default_Risk
Contains Code & Summary & Flowchart from work in Home Default Risk Competition
Investment_Modeling
LintCode
LintCode Python
Reviewbox_team
dujijundavid's Repositories
dujijundavid/Analytical_skills-tips
Includes learning, reviews from Online tutorial materials.
dujijundavid/E-Commence
Developing a marketing program targeted to dormant one time buyers on platform to incentivize them to purchase again. Improve the program with machine learning models by at least 80%, with over 2GBs of training data processed on single machine. Implement classification models including Lasso logistic regression and Random Forest with cross validation optimization. Using R&SQL for data importing, cleaning and reprocessing, model testing and optimization.
dujijundavid/LintCode
LintCode Python
dujijundavid/Agora
dujijundavid/Anomaly_Detection
Stores my project and research about conducting anomaly detection to network data.
dujijundavid/Credit_Risk_Modeling
dujijundavid/Databricks-DavidDu
Previous functions and Runable Scripts written on Databricks platform.
dujijundavid/Home_Default_Risk
Contains Code & Summary & Flowchart from work in Home Default Risk Competition
dujijundavid/Investment_Modeling
dujijundavid/Reviewbox_team
dujijundavid/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
dujijundavid/courses
dujijundavid/cs188
dujijundavid/Data-science
Collection of useful data science topics along with code and articles
dujijundavid/Data_Science_Udacity_Portfolio
dujijundavid/databricks
Repository of sample Databricks notebooks
dujijundavid/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
dujijundavid/Delivery_Analysis_Jumpman23
Takehome data challenge
dujijundavid/DS-GA-1007-python-for-data-science
This is a course for python for data science.
dujijundavid/DS-GA-3001-Advanced-Python
This is the course for advanced python in NYU. It covers performance optimization, multi-thread programming, cuda, and other advanced topics in python.
dujijundavid/ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
dujijundavid/mlflow-example
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.
dujijundavid/prometheus-anomaly-detector
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
dujijundavid/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
dujijundavid/Python
All Algorithms implemented in Python
dujijundavid/Spark_projects
Using Python to analyze large scale datasets using PySpark.
dujijundavid/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
dujijundavid/Web_Scraping_projects
Use Python (Request, BeautifulSoup, ) to scrap and analysis Ebay dataset.