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1. Appraise classification methods including Naïve Bayes and the support vector machine algorithm

Mar 12 2023 89.00

1.1 Evaluate different methods of classification and the performance of classifiers.

Mar 12 2023 79.00

Unit DS06: Unsupervised Multivariate Methods

Mar 12 2023 89.00

3. Evaluate the concept of panel data regression and implement panel data methods.

Mar 12 2023 79.00

2.1 Perform data reduction and derive interpretable factors and use factor scores to interpret the data set.

Mar 12 2023 79.00

1.2 Perform principal component analysis and develop scoring models using R and python to minimise data loss and improve interpretability of data.

May 19 2023 69.00

Unit DS05: Time Series Analysis

Nov 04 2024 89.00

1. Assess the concepts and uses of time series analysis and test for stationarity in time series data.

Mar 12 2023 79.00

1.1 Create time series object in R and Python correctly including decomposing time series and assessing different components.

Mar 12 2023 79.00

Unit DS04: Advanced Predictive Modelling

Mar 12 2023 89.00

2. Develop applications of multinomial logistic regression and ordinal logistic regression.

Mar 12 2023 79.00

2.2 Develop models for nominal and ordinal scaled dependent variable in R and Python correctly.

Jun 12 2023 69.00

1.1 Evaluate when to use Binary Linear Regression correctly.

Mar 12 2023 79.00

Unit DS03: Fundamentals of Predictive Modelling

Mar 12 2023 79.00
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