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Priyanka Gagneja

Recently Published

Doing More with Tidyverse
Details I wish I saw sooner in the details.
NG - assessment
Quarto All Things Workshop - R In Pharma 2023
Special Use Cases
Unit Testing in R
NHS R Conference - 2023 (Online)
Talk - Data Wrangling in R for SAS Users
Overview
Tplyr Sample Demo
gtreg demo
Sample - Reactable table examples
ERGOT Data Test
Analysis of LT (liver transplant) data
Document
Sarepta Presentation
Sarepta Data Presentation
Lose It!
R Evaluation Exercise
Demo Presentation
Working with meetups package
Data Manipulation in R
Demo Class
TriNetX Case Study
Lets fix the birth years in the data
RESurety Task
Klaviyo DS Exercise
Forecasting - HW3
Discussion Post 8
Forecasting - HW2
Forecasting - HW2
Discussion Post 7
Discussion Post Week 6 - GARCH model
Tutorial - KNN Classification
Discussion Week 5-Predicting google prices for next week - using arima with independent variables
Discussion Post Week 4-Predicting DJIA for next month - using arima techniques (auto-arima in R)
Comparing Arima and ETS techniques
Discussion Post Week 3-Predicting DJIA for next month - using ETS techniques
ETS Forecasting Techniques
Predictive Analytics - HW1
Discussion Post Week 2-Predicting DJIA for next month - using decomposition
Discussion Post Week 1-Predicting stock price for next month
Chapter 9 - Support Vector Machines
Maximal Margin Classifiers, Soft Classifiers, Support Vector Machines
R Labs - Chapter4
Individual Project 1
R Labs - Chapter6
Econometrics: HW1
Regression Play
Showcasing examples of multiple activities involved in building regression models including variable selection, cross validation, model selection etc.
R Labs - Chapter7
Chapter 7
R Labs - Chapter5
Chapter 5
Final Group Project - Charity - Classification of DONR and Prediction of Donor Amount
By Priyanka Gagneja, Tyler Kertson, Andrei Rjedkin
R Labs - Chapter3
Chapter 3
R Labs - Chapter2
Chapter 2
R Labs from ISL Book(Trevor and Hastie)
This contains a quick tutorial or practise of R codes from the R Labs of the book Introduction to Statistical Learning & Elements of Statistical Learning partially.
Forecasting the traffic of solar customers for the marketplace provider in US
Forecasting the traffic of solar customers in USA
Solar Installations (Data Analysis in R)
Data Analysis & Visualization Solar Installations
Lets try to connect the dots using the customer and provider data on solar installations using dummy data.
Final Term - Data Analysis @ BC
Data Analysis Project - Ames Housing Data (Kaggle)
Final Term - Data Analysis @ BC
Ames Housing Price Prediction
HW7_Data Analysis @ BC
HW8 - Data Analysis Class @ BC
HW6 - Data Analysis Class (ADEC730102)
HW5 - Data Analysis Class @ BC
HW4 - Data Analysis Class (ADEC730102)
Mid Term Assignment Submission - Data Analysis
HW3 - Data Analysis Class (ADEC730102)
Practice problems on Probability Distribution