一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写Due Date: 5 pm, Friday the 6 th of August (end of Week 12), 2021.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写You have two main tasks for this assignment:
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写1. Conduct a literature review of at least 10 academic articles focusing on the use of RNNs in stock price prediction (use google scholar and focus on the last 5 years). For each article, describe:
a. the data and timeframe used,
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写b. the metric for success and how well the final model performed,
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 c. the RNN structure
d. any other comments you think are relevant to understanding the results of the paper.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写2. Build an RNN focused only on using past prices to predict future prices. Describe the modelling process using the same approach as your first two assignments.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写A template notebook has been uploaded to iLearn which contains a very simply model. You are to use this as a starting point. Your goal is to build the best model you can. Remember a good model sits right at the border between underfitting and overfitting – it maximizes accuracy while minimizing the network size.
Aim to produce a structured report that suitably reflects the tasks above. You should clearly distinguish between the Literature Review and the Modelling.
Focus on explaining why you made the decisions and choices you made. I can see what you did in the code you upload… what I want to know is why you made those choices.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写? I value conciseness and elegance in coding.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写? I value your explanations as to why you made the choices you made.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 ? I value the quality of the model – higher test accuracy and a lower number of network parameters makes a better model. To achieve this takes considerable effort and thought, which will be rewarded.
? Surprise me.