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algorithms

Solutions of algorithms and data structure leetcode questions in python

app-store-apple-data

Analytics for Mobile Apps

applied-data-science-with-python

basketball_data_visualization

Designed and built interactive data visualization chart to present baseball players' performance using dimple.js and d3.js.

data-tools

Python data analysis toolbox - contains practical data munging, data cleaning, data exploration examples, as well as useful data processing algorithms.

elasticsearch-python

Scrapes unicorn company data from cbinsight website, performs parsing, data munging and indexing into elasticsearch

enron-emails

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.

frontend-nanodegree-resume

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!

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-case-study

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.

machine-learning-classification

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

machine-learning-clustering-retrieval

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

machine-learning-regression

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

nanli-7.github.io

openstreetmap

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.

stroop-effect

ted-talks

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.

titanic-analysis

Investigate titanic passengers database using statistical analysis approaches and predict determinate correlation factors for survival rates

wine-quality

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.