The reaction studied in this work is a Buchwald-Hartwig cross-coupling reaction between benzophenone hydrazone and 4-chlorotoluene. Two experienced chemists at a contract research organisation carried out 15 repeats of this reaction and used the hardware described earlier, provided by DeepMatter to generate time-series data for each repeat. The dataset will be processed to a suitable format for training and testing machine learning models to predict the current and future product formation. A series of machine learning algorithms will be used to evaluate the suitability of different models for the predictive task. Product formation is a continuous variable; hence, regression models are of interest including linear and polynomial regression models, decision tree models, and neural networks. The main limitation of the models being developed is they will only relate to this dataset, and therefore, only this specific reaction. However, extending this work to include larger datasets of multiple related reactions would be worth exploring in future work.