omocharly
Charles Ugiagbe
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DATA 622_Homework 1
Exploratory Analysis and Essay
DATA 624 Project 2
DATA 624 Final Project 2
DATA 624 Homework 10
Homework 10
DATA 624 Presentation
Presentation
DATA 624 Homework 9
Regression Trees and Rule-Based Models
DATA 624 Project 1
ATM and Power Forcasting.
DATA624_HomeWork 8
Non-Linear Regression
DATA624_HomeWork 7
ARIMA Models PT 2
DATA624_HomeWork 6
ARIMA Models
DATA624_HomeWork 5
Exponential Smothing
DATA624_HomeWork 4
Data Preprocessing and Overfitting
DATA624_HomeWork 3
Homework 3 - Forecasting.
DATA624_HomeWork 2
Time Series Decomposition
DATA624_HomeWork1
DATA624_Time Series
DATA621_Blog2_Non-Parametric Test
Blog2_Non-Parametric Test
Blog 5_Recommender System.
DATA621_Blog 5_Recommender System
Underfitting and Overfitting
DATA621_Blog 4_Underfitting and Overfitting
Logistic Regression and Classification Metrics
Blog 3: Logistic Regression and Classification Metrics
DATA621_HomeWork2_Classification Metrics
Classification Metrics
DATA621_HomeWork1
DATA621_ Homework 1 (Group 3)
DATA608_Assignment3
CDC Wonder Data Shiny app
DATA608_Assignment1
Principles of Data Visualization and Introduction to ggplot2
DATA605_Final Exam
PageRank, Kaggle MNIST and Kaggle House Prices
DATA605_HW15
Multivariate Function
DATA605_Wk14_Discussion
Discussion
DATA605_HW14
Taylor's Series
DATA605_HW13
Univariate and Multivariate Calculus
DATA605_HW12
Multiple Linear Regression
DATA605_Discussion12
Multiple Linear Regression
DATA605_HW11
Simple Linear Regression
DATA605_Discussion11
Simple linear Regression
Week 10 Discussion
Markov Chains and Random walk
DATA605_HW10
Markov Chains and Random Walk
DATA605_HW9
Central Limit Theorem & Generating Functions
DATA605_HW8
SUMS OF RANDOM VARIABLES
DATA605_HW7
DISTRIBUTIONS AND DENSITIES
DATA605_HW6
COMBINATORICS
DATA605_HW5
Probability Distributions
DATA605_HW4
Linear Transformation and Representation.
DATA605_HW3
Eigenvalues and Eigenvectors
DATA605_HW2_Image Transformation
Image Transformation
DATA605_HW2
Matrix Transpose and Decomposition
DATA606_Final Project
Insurance Charges Prediction
DATA607_Tidyverse Extend
Part 2: Tidyverse Extend Vignette
DATA607_WK11_Recommender System.
Netflix Recommender system
DATA606_HW9_Multiple and Logistic Regression
Multiple and Logistic Regression
DATA606_LAB9_Multiple Linear Regression
Multiple Linear Regression
DATA607_Assignmt10
Text Mining with R: Sentiment Analysis
DATA606_HW8
Introduction to linear Regression
DATA606_LAB8_Linear Regression
Introduction to Linear Regression
DATA607_HW7_Inference for Numerical Data
Inference For Numerical Data
DATA606_LAB7
Inference for Numerical Data
DATA607_WK9Assignment
WEB API's
DATA607_Tidyverse_Create_Vignette
Working with Tidyverse
DATA607_WK7Assignmt
Working with Json File - Nobel Prize API
DATA606_LAB6
Inference for categorical Data
DATA606_HW6
Inference for Categorical Data
DATA607_WK7Assignment
Working with XML and JSON in R
DATA606_LAB5A
Foundations for statistical inference - Sampling distributions
DATA606_LAB5B
Foundations for statistical inference - Confidence intervals
DATA606_HW5
Foundation for Statistical Inference
DATA607_Project 2
Tidying and transforming Wide Data
DATA607_WK5_Assignment4
Tidying and Transforming Vaccination Data
DATA606_LAB4
Normal Distribution
DATA606_HW4
Distribution of Random Variables
DATA607_Project 1
Chess Tournament
DATA606_LAB3
Probability
DATA606_HW3
Probability
CUNY SPS_DATA607_Assignment3
R Character Manipulations
CUNY SPS_DATA606_LAB2
Introduction to Data
CUNY SPS_DATA606_HW2
Summarizing Data
Introduction to R and RStudio
The RStudio Interface
CUNY SPS_DATA606_HW1
Chapter 1: Introduction to Data
CUNY SPS_DATA607_Assignment2
SQL and R: How to connect to a SQL database from R
CUNY SPS_DATA607_Assignment1
Loading Data into a Data frame.