nanli-7 Goto Github PK
Name: Hannah Li
Type: User
Bio: data analyst, python programmer
Name: Hannah Li
Type: User
Bio: data analyst, python programmer
Solutions of algorithms and data structure leetcode questions in python
Analytics for Mobile Apps
Designed and built interactive data visualization chart to present baseball players' performance using dimple.js and d3.js.
Python data analysis toolbox - contains practical data munging, data cleaning, data exploration examples, as well as useful data processing algorithms.
Scrapes unicorn company data from cbinsight website, performs parsing, data munging and indexing into elasticsearch
Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision and recall, and stochastic gradient descent for optimization in Python.
This repository is used for one of the projects in Udacity's Front-End Web Developer Nanodegree program. Learn how to become a Front-End Developer today with line-by-line code reviewed projects and get a job with career services!
Content for Udacity's Machine Learning curriculum
Collection of machine learning application cases, such as movie recommendation system, naive bayes spam detecting models, text classification, time series prediction for stock markets etc.
Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python
Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python
Built house price prediction model by using linear regression and k nearest neighbors algorithm. Applied machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Applied data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity for OpenStreetMap(OSM) data of San Jose Metro in Python. Explored popular amenities and restaurants in town with SQL.
data exploratory analysis of TED talks databases. extract interesting findings from data which contains general information of each talk such as genre, broadcast rating etc and related transcripts as well.
Investigate titanic passengers database using statistical analysis approaches and predict determinate correlation factors for survival rates
Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality in R.
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.