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skapoor13

Sachi Kapoor

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Chapter 3 (3.1-3.4)
Hyndman Forecasting - Chapter 8 Exercises (8.1, 8.5–8.9)
Chapter 8
DATA 624 — Applied Predictive Modeling (Kuhn & Johnson) — Problems 3.1–3.2
FPP3 Chapter 5 Exercises (5.1, 5.2, 5.3, 5.4, 5.7)
Chapter 3 part 2
Final Chapter 3 Part 1
chapter 3 part 1
Hyndman Forecasting Chapter 2 Exercises
DATA 606 - Lab 9: Multiple Linear Regression
Spam vs Ham Email Classifier
The Normal Distribution
Inference for Numerical Data
Foundations for Statistical Inference: Confidence Intervals
Foundations for Statistical Inference: Sampling Distributions
DATA606 Lab 8 — Linear Regression
Assignment 11
DATA 607 — Rectangling with the Nobel Prize API
Sentiment Assignment
Project Proposal
Inference for numerical data
Books API
Inference for categorical data
Lab 6 - Inference for Categorical Data
Lab 5
Working with XML and JSON in R
Project 2
Lab 4
DATA606 Lab 3: Probability (Hot Hand)
Week 5 – Airlines (Base R)
Chest Project 1
window-fns
GBE Report
Document
data606-assignment-classification
assignment_penguins.html
Lab 1- 606
Where Are America’s Librarians?