Solutions

2.1 Build interpretable dashboards using the SHINY package.

Price:
$91.77 USD

3. Analyse Market Baskets and apply neural networks to classification problems.

Price:
$105.07 USD

3.1 Analyse transactions data for possible associations and derive baskets of associated products.

Price:
$118.37 USD

2. Apply decision tree and random forest algorithms to classification and regression problems.

Price:
$118.37 USD

2.1 Use decision trees for classification and regression problems in comparison with classical methodologies.

Price:
$105.07 USD

3.3 Interpret cluster solutions and analyse the use of clusters for business strategies.

Price:
$91.77 USD

2. Understand hierarchical and non-hierarchical cluster analysis and assess their outputs.

Price:
$118.37 USD

1. Define Principal Component Analysis (PCA) and its derivations and assess their application.

Price:
$118.37 USD

3.4 Evaluate the difference between fixed effect and random effect models.

Price:
$105.07 USD

2. Validate ARIMA (Auto Regressive Integrated Moving Average) models and use estimation.

Price:
$91.77 USD

2.1 Identify p, d and q of ARIMA model using ACF (auto- correlation function) and a PACF (partial auto-correlation function) to describe how well values are related.

Price:
$105.07 USD

3. Develop generalised linear models and carry out survival analysis and Cox regression.

Price:
$118.37 USD

3.2 Apply the Poisson regression model and negative binomial regression to count data correctly.

Price:
$105.07 USD

1.3 Interpret output of global testing using Linear Regression Testing in order to assess the results.

Price:
$91.77 USD
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