NLP and Machine Learning project
Budget: $30 – $250 USD
Predicting flight delays using TensorFlow 2 or libraries.
I provide you with the dataset: https://drive.google.com/file/d/1qyDI4QRb8xsfrDRDVoUTtCy_ZJMDbA59/view?usp=share_link
Final report + presentation using CNN / RNN / RL or anything more advanced :
due on: 6/1/23
Final report: the final report must be at least 4 pages long (in English). Follow an academic paper structure, that is, write an abstract, introduction, related work and required background, project description, experiments/simulation results, and conclusions. Add a section for previous attempts, which will describe the work you have done in the deliverables 2 and 3. The project description section should include only your final (best) approach. Do not write your report as a story (try avoiding first person viewpoint and subjective case). Compare your results to what you have obtained using Linear or Logistic regression and MLP. You may not fabricated data in this report. Please include also your code in this submission. You will need to print your report and bring it with you to the presentation.
Presentation: you will be presenting your projects at our last class (6-7/1/23); you will be allotted 7 minutes, including Q&A and transition between speakers.
you can use any other library for pre-processing the data.
The first project was in TensorFlow 1.x, I'll will attach it also.
In other words:
A more sophisticated model than the previous one must be built. For example, use RNN/CNN/RL etc.
You can use libraries or tensorflow 2
Write a 4 page summary. Show results and improvement from previous results
In the last lesson, the model and the process must be presented in front of the class
I provide you with the dataset: https://drive.google.com/file/d/1qyDI4QRb8xsfrDRDVoUTtCy_ZJMDbA59/view?usp=share_link
Final report + presentation using CNN / RNN / RL or anything more advanced :
due on: 6/1/23
Final report: the final report must be at least 4 pages long (in English). Follow an academic paper structure, that is, write an abstract, introduction, related work and required background, project description, experiments/simulation results, and conclusions. Add a section for previous attempts, which will describe the work you have done in the deliverables 2 and 3. The project description section should include only your final (best) approach. Do not write your report as a story (try avoiding first person viewpoint and subjective case). Compare your results to what you have obtained using Linear or Logistic regression and MLP. You may not fabricated data in this report. Please include also your code in this submission. You will need to print your report and bring it with you to the presentation.
Presentation: you will be presenting your projects at our last class (6-7/1/23); you will be allotted 7 minutes, including Q&A and transition between speakers.
you can use any other library for pre-processing the data.
The first project was in TensorFlow 1.x, I'll will attach it also.
In other words:
A more sophisticated model than the previous one must be built. For example, use RNN/CNN/RL etc.
You can use libraries or tensorflow 2
Write a 4 page summary. Show results and improvement from previous results
In the last lesson, the model and the process must be presented in front of the class