Submitted for Coursera Certification

Used data munging techniques to assess the quality of the OpenStreetMap data of Tianjin for validity, accuracy, completeness, consistency and uniformity and cleaned the data.

Analysis of NOAA storm database with R to determine most severe types of weather event

This repo contains the code to download data and then extract it, if needed, and store it in a pickle file.

Data wrangling in Python

Scripts for data wrangling operations

Data wrangling using python and SQL

通过Python对OpenStreetMap的数据集进行整理和清洗。

Udacity Data Analyst NanoDegree Data Wrangling course project

This project is aimed to use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world.

Database column values cleaning using supervised learning models - multi-label problem.

Research Lab Script in R

Some materials I used to Train basics of R

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…

[Data wrangling, Seaborn visualization] A data science exercise for food safety evaluation in SF

Data Wrangling with MongoDB