There is no dissertation handbook or guidelines but it should be well written with all aspects covered. Please provide me one mind map for different approaches of machine learning algorithms for predictive analytics and 1 briefly analysed past model to develop commodities prices and limitations in that model by today. I need to show them to my supervisor as update in my thesis. Mind map is starting point of my thesis I should show that today to supervisor.

My thesis research question - There is no model till now in predictive analytics which predicts accurate commodities prices. So I am going to develop a model (with perfect algorithm) which predicts accurately. To develop a new model I should consider any five previous models (with algorithm) which predicts commodities prices and explain the limitations in those models. Next I need to develop a new model using those considered five models by eliminating the limitations. In part B the model (with algorithm)given by me is tested with real world 1 year data of commodities and check the results using R language. Make sure you need to do only part A but please give the perfect algorithm which I will implement that algorithm in part B using R language.

Please make sure that there is 0% plagarism because it is very strict in my university I might get failed and rule out. Only part - A of the below word document need to be done. I need update of the work on following dates It should include Mind map to the machine learning approaches for predictive analytics and 1 model analysed with limitations At least 2 models analysed with limitations. Can you please send me the mind map to the machine learning approaches and 1 predictive model analysed as part of my requirement.