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1.2 Analyse unstructured data and perform sentiment analysis of Twitter data to identify the positive, negative or neutral tone of the text.


Unit DS07: Machine Learning


3.2 Apply neural networks to a classification problem in domains such as speech recognition, image recognition and document categorisation.


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


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


Unit DS06: Unsupervised Multivariate Methods


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


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


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


Unit DS05: Time Series Analysis


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


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


Unit DS04: Advanced Predictive Modelling


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


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