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Web_Analytics_Week10_Creating_a_dashboard
Creating a dashboard Part I: Log into the Google Analytics Demo Account () Create a dashboard. Choose a data source. Customize the report to bring forward the most relevant results. Take a screenshot for each question and provide a brief explanation of your experience completing the question. Part II: Log into the Answer the following questions by taking a screenshot and explaining what is being represented. Identify the terms driving the most organic traffic. Identify the terms lead...
- Book
- Exam (elaborations)
- • 5 pages •
Creating a dashboard Part I: Log into the Google Analytics Demo Account () Create a dashboard. Choose a data source. Customize the report to bring forward the most relevant results. Take a screenshot for each question and provide a brief explanation of your experience completing the question. Part II: Log into the Answer the following questions by taking a screenshot and explaining what is being represented. Identify the terms driving the most organic traffic. Identify the terms lead...
Data Mining for Data Sci & Anlyc_NEC_All_7_Weeks_Solved
Data Mining for Data Sci & Anlyc_NEC_All_7_Weeks_Solved
- Package deal
- • 7 items •
- Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved • Exam (elaborations)
- Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved • Exam (elaborations)
- Datamining_for_DataSci&Anlyc_NEC_Week2_Solved • Exam (elaborations)
- Datamining_for_DataSci&Anlyc_NEC_Week3_Solved • Exam (elaborations)
- Datamining_for_DataSci&Anlyc_NEC_Week4_Solved • Exam (elaborations)
- And more ….
Data Mining for Data Sci & Anlyc_NEC_All_7_Weeks_Solved
Datamining_for_DataSci&Anlyc_NEC_Week6_Solved
Study this example: Copy and paste the provided R source code into an R markdown file and make it run. Weave an explanation of the model and it's conculsions into your markdown file.
- Book & Paket-Deal
- Exam (elaborations)
- • 8 pages •
Study this example: Copy and paste the provided R source code into an R markdown file and make it run. Weave an explanation of the model and it's conculsions into your markdown file.
Datamining_for_DataSci&Anlyc_NEC_Week5_Solved
Using Chapter 5, we will experiment with association analysis.
- Book & Paket-Deal
- Exam (elaborations)
- • 37 pages •
Using Chapter 5, we will experiment with association analysis.
Datamining_for_DataSci&Anlyc_NEC_Week4_Solved
Using Chapter 4, let's look at other ways to do classification - nearest neighbors, decisions trees, support vector machines, even neural nets.
- Book & Paket-Deal
- Exam (elaborations)
- • 38 pages •
Using Chapter 4, let's look at other ways to do classification - nearest neighbors, decisions trees, support vector machines, even neural nets.
Datamining_for_DataSci&Anlyc_NEC_Week3_Solved
Using Chapter 3, let's about classification. This week we will be using the zoo dataset, another common dataset among data mining classes.
- Book & Paket-Deal
- Exam (elaborations)
- • 32 pages •
Using Chapter 3, let's about classification. This week we will be using the zoo dataset, another common dataset among data mining classes.
Datamining_for_DataSci&Anlyc_NEC_Week2_Solved
Using Chapter 2, let's learn how to explore data. We will be using the Iris dataset which is commonly one of the first datasets used in data mining classes.
- Book & Paket-Deal
- Exam (elaborations)
- • 49 pages •
Using Chapter 2, let's learn how to explore data. We will be using the Iris dataset which is commonly one of the first datasets used in data mining classes.
Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved
Edit the provided R Markdown document so that It contains your name and then knit it as HTML.
- Book & Paket-Deal
- Exam (elaborations)
- • 2 pages •
Edit the provided R Markdown document so that It contains your name and then knit it as HTML.
Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved
We will be using examples from the book An R Companion for Introduction to Data Mining by Michael Hahsler. Every week you will be assigned a new example from this book. The instructions for each week are identical: copy and paste the source code into R studio and run it. understand what it does, explain how the dataset is processed, generate every graph, etc. document your work in an R Markdown document.
- Book & Paket-Deal
- Exam (elaborations)
- • 3 pages •
We will be using examples from the book An R Companion for Introduction to Data Mining by Michael Hahsler. Every week you will be assigned a new example from this book. The instructions for each week are identical: copy and paste the source code into R studio and run it. understand what it does, explain how the dataset is processed, generate every graph, etc. document your work in an R Markdown document.
Information_Visualization_NEC_All_7_Weeks_Solved
Information_Visualization_NEC_All_7_Weeks_Solved
- Package deal
- • 8 items •
- Information_Visualization_Week1_NEC_Solved • Exam (elaborations)
- Information_Visualization_Week2_NEC_Solved • Exam (elaborations)
- Information_Visualization_Week3_NEC_Solved • Exam (elaborations)
- Information_Visualization_Week4_NEC_Solved • Exam (elaborations)
- Information_Visualization_Week5_NEC_Solved • Exam (elaborations)
- And more ….
Information_Visualization_NEC_All_7_Weeks_Solved
MNIST_Fashion_MNIST_image_data_ML_Week13_NEC
Santander_Bank_Case_Study_ML_Week6_NEC
MNIST _Fashion_MNIST_image_data_ML_Wk12_NEC_Solved
Santander_Bank_Case_Study_ML_Week6_NEC
Fundamentals_of_ensemble_modeling_Week5_NEC