Can you please do read instruction document that I have attached below. Please prepare the document accordingly by the topic name "Facial emotion recognition using neural networks and deep learning".
I think we need to prepare documents for the assignment. Please find the additional details in the instruction document.
Requirements:1. One document has to be about 1300 words with 6 to 7 screenshots on the topic findings with 1400 words.2. The second file is the presentation file on the analytics and findings.
Student Guidelines Assessment 3 Group Assignment Due: 31 May 2020 - 11:59 pm (week 12) Total Weightage: 25% Group assignment (3 members in one group) Submission only by one of the group members Task For this assignment, you are required to work in group and two files need to be uploaded in the moodle (provided links) by one of the group members. The first file is a report containing 1200-1500 words with 6-10 screenshots from your findings. The second file is a presentation file of your analytics and findings. Note that both files need to be uploaded by only one of the group members. 1. Data There is a data available in the moodle. You need to add a section in your report and talk about the data and challenges there. What kind of issues available there? What are the features? Add some information on the data in this section of your report. 2. Data Analytics & Visulaisation Find out what kind of data it is and what you can do with this data if this data passes to you by your company. For doing this you need to look at the data and do data processing, such as cleaning and feature engineering, if it is required. Then chose proper methods to analysis the data. Suppose this is a company data that you are working for them. What are the issues available there and what you can recommend for your manager in company to enhance their objectives and to the benefits of the company? 3. Report (Weightage: 15%) Your report should have 1200-1500 words, excluding references, addressing the business questions, challenges, analytics, recommendation and visualisation related to the data. It should cover what are the issues in the data, you are going to solve and how, plots and recommendations. The report should have some plots (6-10 screenshots) from your findings. Note that plots need to be labelled and explained inside the report. All coding, including data uploading, cleaning, analytics and visualisation should be coded in Python. The python code should be included at the end of your report in a section called Appendix. Note: Structure and font of your report should follow the word file template provided in the moodle. Your report should be a single word or pdf document containing your report and need to be submitted through moodle. One submission per group and make sure all group members participate and add their names in the report. Your report should have a contribution table at the end of the report. 4. Presentation (Weightage: 10%) The presentation should be a maximum of 10 minutes for the whole team. Each member must participate in video presentation file and talk at least 2 minutes in the video related to the methodology used, findings, contribution or recommendation. Note: Presentation file should be submitted by the same person who submitted the report. Your presentation file should have a standard video format and it should not exceed 200 MB. Slides and your faces should be clear in the video file. The same person, who submitted the report, needs to submit the presentation file (not link to your video) in the provided video submission link. Only video file will be marked; the link for your video is not accepted and will not be considered for marking. Submission Guidelines All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 10% per day (including weekend days). The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference web-sites, Journal articles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and re- submit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and the date and time you submitted will be taken from that submission. Note: You must find group by yourself and provide group member names by week 6. It is your responsibility to find group members. If you could not find any students to create a group, you have to work by yourself and provide a quality report and presentation as others. Student Guidelines Assessment 3 Group Assignment Due: 31 May 2020 - 11:59 pm (week 12) Total Weightage: 25% Group assignment (3 members in one group) Submission only by one of the group members Task For this assignment, you are required to work in group and two files need to be uploaded in the moodle (provided links) by one of the group members. The first file is a report containing 1200-1500 words with 6-10 screenshots from your findings. The second file is a presentation file of your analytics and findings. Note that both files need to be uploaded by only one of the group members. 1. Data There is a data available in the moodle. You need to add a section in your report and talk about the data and challenges there. What kind of issues available there? What are the features? Add some information on the data in this section of your report. 2. Data Analytics & Visulaisation Find out what kind of data it is and what you can do with this data if this data passes to you by your company. For doing this you need to look at the data and do data processing, such as cleaning and feature engineering, if it is required. Then chose proper methods to analysis the data. Suppose this is a company data that you are working for them. What are the issues available there and what you can recommend for your manager in company to enhance their objectives and to the benefits of the company? 3. Report (Weightage: 15%) Your report should have 1200-1500 words, excluding references, addressing the business questions, challenges, analytics, recommendation and visualisation related to the data. It should cover what are the issues in the data, you are going to solve and how, plots and recommendations. The report should have some plots (6-10 screenshots) from your findings. Note that plots need to be labelled and explained inside the report. All coding, including data uploading, cleaning, analytics and visualisation should be coded in Python. The python code should be included at the end of your report in a section called Appendix. Note: Structure and font of your report should follow the word file template provided in the moodle. Your report should be a single word or pdf document containing your report and need to be submitted through moodle. One submission per group and make sure all group members participate and add their names in the report. Your report should have a contribution table at the end of the report. 4. Presentation (Weightage: 10%) The presentation should be a maximum of 10 minutes for the whole team. Each member must participate in video presentation file and talk at least 2 minutes in the video related to the methodology used, findings, contribution or recommendation. Note: Presentation file should be submitted by the same person who submitted the report. Your presentation file should have a standard video format and it should not exceed 200 MB. Slides and your faces should be clear in the video file. The same person, who submitted the report, needs to submit the presentation file (not link to your video) in the provided video submission link. Only video file will be marked; the link for your video is not accepted and will not be considered for marking. Submission Guidelines All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 10% per day (including weekend days). The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference web-sites, Journal articles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and re- submit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and the date and time you submitted will be taken from that submission. Note: You must find group by yourself and provide group member names by week 6. It is your responsibility to find group members. If you could not find any students to create a group, you have to work by yourself and provide a quality report and presentation as others.