Pinned Repositories
Airbnb-Insights-
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Baby-Names-Analysis
Analysis on National Names data deriving valuable insights using Pandas , Numpy & Matplotlib
Data-Visualization-in-Shiny-apps
A simple dashboard created using the Shiny package in R It takes in consideration the revenue collected by Uber and Lyft and does peer analysis using pie chart, line chart and histograms for all months within the year 2016. Project URL : https://shades2793.shinyapps.io/Project_UBERvsLYFT/
Final-Project
git-wiki
Machine-Learning-Specialization
Assignments of Coursera Machine Learning Specialization using Scikit-Learn, Pandas, Numpy and Scipy
Machine-Learning-University-of-Washington
Assignments for University of Washington Machine Learning Specialization through Coursera
Playing-with-Pandas
Importing data from text file in to a pandas data frame , parsing invalid values and computing the mean , max and percentage change.The final output is saved in a text file.This is a part of an in-class assignment.
pydbcopy
Python app for copying mysql databases using multiprocessing
sparka3's Repositories
sparka3/Airbnb-Insights-
sparka3/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
sparka3/Baby-Names-Analysis
Analysis on National Names data deriving valuable insights using Pandas , Numpy & Matplotlib
sparka3/Data-Visualization-in-Shiny-apps
A simple dashboard created using the Shiny package in R It takes in consideration the revenue collected by Uber and Lyft and does peer analysis using pie chart, line chart and histograms for all months within the year 2016. Project URL : https://shades2793.shinyapps.io/Project_UBERvsLYFT/
sparka3/Final-Project
sparka3/git-wiki
sparka3/Machine-Learning-Specialization
Assignments of Coursera Machine Learning Specialization using Scikit-Learn, Pandas, Numpy and Scipy
sparka3/Machine-Learning-University-of-Washington
Assignments for University of Washington Machine Learning Specialization through Coursera
sparka3/Playing-with-Pandas
Importing data from text file in to a pandas data frame , parsing invalid values and computing the mean , max and percentage change.The final output is saved in a text file.This is a part of an in-class assignment.
sparka3/pydbcopy
Python app for copying mysql databases using multiprocessing
sparka3/Web-Scraping-with-Python
Scrape weather data on website using BeautifulSoup and export to csv file