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Mircea

Mircea Dumitru

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Modeling Data in the Tidyverse
The consumer complaints data from the Consumer Complaint Database (CFPB), an independent agency of the United States government that promotes transparency and protects consumers by providing information needed to make decisions when choosing financial institutions including banking institutions, lenders, mortgage services, credit unions, securities firms, foreclosure services, and debt collectors. One of the purposes of the agency is to receive and process complaints and questions about consumer financial products and services. When a complaint is submitted by a consumer, the CFPB has to determine which category the complaint falls in (e.g. "Mortgage", "Student loan", etc). In this project, your goal will be to use the skills you have learned about in this course to build a classification algorithm to classify consumer complaints into one of four categories: "Credit card or prepaid card", "Mortgage", "Student loan", or "Vehicle loan or lease".
Practical Machine Learning: Week 4
Practical Machine Learning: Week 4
Practical Machine Learning: Quiz 4
Regularized Regression and Combining Predictors Practical Machine Learning: Quiz 4 Coursera Data Science: Statistics & Machine Learning Specialization
Practical Machine Learning: Week 3
Practical Machine Learning: Week 3
Practical Machine Learning: Quiz 3
Practical Machine Learning: Quiz 3
Practical Machine Learning: Quiz 2
Practical Machine Learning: Quiz 2
Practical Machine Learning: Week 2
Practical Machine Learning: Week 2
Regression Models: Assignment
Regression Models: Assignment
Regression Models: Generalized Linear Models - Quiz 4
Regression Models: Generalized Linear Models - Quiz 4
Regression Models: Generalized Linear Models - Week 4
Regression Models: Generalized Linear Models - Week 4
Regression Models: Multivariable Regression - Quiz 3
Regression Models: Multivariable Regression - Quiz 3
Regression Models: Multivariable Regression - Week 3
Regression Models: Multivariable Regression - Week 3
Regression Models: Linear Regression & Multivariable Regression - Quiz 2
Regression Models: Linear Regression & Multivariable Regression - Quiz 2
Regression Models: Linear Regression & Multivariable Regression - Week 2
Regression Models: Linear Regression & Multivariable Regression - Week 2
Regression Models: Least Squares & Linear Regression - Quiz 1
Regression Models: Least Squares & Linear Regression - Quiz 1
Regression Models: Least Squares & Linear Regression - Week 1
Regression Models: Least Squares & Linear Regression - Week 1
Statistical Inference: Variability, Distributions, Limits, & Confidence Intervals - Quiz 2
Statistical Inference: Variability, Distributions, Limits, & Confidence Intervals - Quiz 2
Statistical Inference: Variability, Distributions, Limits, & Confidence Intervals - Week 2
Statistical Inference: Variability, Distributions, Limits, & Confidence Intervals - Week 2
Statistical Inference: Probability & Expected Values - Quiz 1
Statistical Inference: Probability & Expected Values - Quiz 1
Statistical Inference: Probability & Expected Values - Week 1
Statistical Inference: Probability & Expected Values - Week 1
Statistical Inference: Assignment 2
Statistical Inference: Assignment 2
Statistical Inference: Assignment 1
Statistical Inference: Assignment 1
Statistical Inference: Power, Multiple Comparisons & Resampling - Week 4
Statistical Inference: Power, Multiple Comparisons & Resampling - Week 4
Statistical Inference: Power, Multiple Comparisons & Resampling - Week 4
Statistical Inference: Power, Multiple Comparisons & Resampling - Week 4
Statistical Inference: Intervals, testing & p-values - Quiz 3
Statistical Inference: Intervals, testing & p-values - Quiz 3
Statistical Inference: Intervals, testing & p-values - Week 3
Statistical Inference: Intervals, testing & p-values - Week 3
Document
Population Harmful Events & Economic Consequences of Severe Weather Events in USA Peer-graded Assignment: Coursera Reproducible Research, Course Project 2