R Programming for DataScience.

The idea with this project is to learn the basis about how to use spark with generated ROOT files from LHC experiment.

evaluate the performance among various algorithmic, hedge, and mutual fund portfolios and compare them against the S&P 500 Index.

Create ETL pipeline to import raw data, transform them into DataFrames, and upload to database.

three quantitative finance projects using batch api data calls to create pandas dataframes implementing different investment strategies by analyzing a composite basket of valuation metrics

Explode list/tuples in columns

Demoing use of Julia language for cleaning & analysing a dataset of recently discovered exoplanets

Drops duplicates in DataFrames with tedious dtypes

Week 4 - UT Austin Data Bootcamp - Pandas Challenge. This week we reviewed the pandas library in Python, specifically looking at DataFrames.

Python API Requests & JSON Traversals Visualizing the Weather of 500+ World Cities

Python Pandas Data Analysis for an independent gaming company

Cleaning data in data frames to improve analytical accuracy

Descriptive statistics project of adult demographics with Pandas, using UC Irvine data set | Priscilla Arinze

Using s. Korean stock trading data, you can practice data visualization basically time series data handling.

Using the pandas dataframe in python, and csv files, we can ask the user to enter word, and the alphanumeric version of each letter will be the output in the form of a list.

my first steps with R

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

User-friendly Python DataFrames 🔵🟡 powered by Julia 🔴🟢🟣