Practical Computing for Data Analytics Homework 2: This project was based on census data regarding Michigan socio-economic data. Visualizations were made to bring out paterns in the data and draw conclusions. ggplot and dplyer were the primary packages used in this project for data manipulation and visualizations. A primary theme in this assignm…
This assignment centered around advanced data minipulation: gathering columns, using pipes, and creating new columns with mutate. As in homework 2, Census data on Michigan was used as a base for this assignment. Simple statistics such as mean, median and trimmed mean were used to describe the variables. Visualization was also implemented to help…
Datacamp Projects
Some R commands that might be handy for data manipulations and exploratory data analysis.
High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)
Learning Note of Python4DataAnalysis
Had to develop a customer segmentation to define marketing strategy. The dataset summarized the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral metrics..
This R notebook contains code for, 1) Converting Data from Wide to Long Format 2) Adding an Earliest and Most Recent columns to a time series dataset 3) Computing moving averages at different time intervals 4) Plotting moving averages in 3) above on line graphs
Solutions to DataCamp Projects by Weiheng Chen (R&Python)
A Python data manipulation and analysis project that examines the relationship between the number of 311 service request calls placed and the average household income of Washington D.C. residents, based on the eight wards that constitute the city, to find a potential correlation through the use of Pandas dataframes and Matplotlib visualizations.
A Python data manipulation and analysis project that examines and visualizes the popularity of widely used data science tools R and Pandas across 3 Stack Exchange subcommunities (Stack Overflow, Cross Validated, Data Science) through the use of the Stack Exchange API and multiple Python libraries such as Pandas, JSON, Requests, and Matplotlib.
Repository of Data Science Projects
Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
This repository is demonstration of Pandas library of Python's super powers.
DataCamp Project Solutions
In this online program, I completed similar tasks that KPMG Graduates do in the company. I learned what it is like working at one of the world’s best data analytics team, and built skills required to excel as a analytics consultant.
Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.
Built a Machine Learning model by using various algorithm and selected the best model based on its accuracy
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