building a predictive model for the price of Airbnb listings in Washington, DC using neural networks and comparing the results to previous regression models. This assignment evaluates the correct usage of concepts and techniques in machine learning, as well as the depth and clarity of analysis and recommendations, through the proper following of training and…

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building a machine learning model to predict the number of people who will ride bikes in a given hour. These are questions for an Intro to Machine Learning course. Please make sure to follow the instructions/guidelines provided to complete the assignment! This is very important! Please make sure to provide an explanation for your answers!…

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writing a 30-slide PowerPoint presentation on features extraction for website phishing detection datasets. please write a 30 slide power point ( exclude introduction, references) about features extraction for website phishing detection datasets the instruction is the following use the paper attached to 1) summary of the paper need to be included as points to describe…

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running a lung cancer detection code on a device. https://github.com/OmkarNevse/Lung-Cancer-detectio… this is the code I want to run, train and use on my device. it has a description of that. I want to a-z instructions for running that on my device. I have provided my project proposal. and there is several python files i want…

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there are 3 tasks you need to do, this is a phase 1 for the project. If you do w there are 3 tasks you need to do, this is a phase 1 for the project. If you do well on the first one, I will keep working you on the next phases. I need…

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Read Chapter 10: Unsupervised Learning from “Gulli, A., Kapoor, A., Pal, S. (201 Read Chapter 10: Unsupervised Learning from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition. United Kingdom: Packt Publishing,”(sections on ‘Restricted…

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Read Chapter 9: Autoencoders from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep L Read Chapter 9: Autoencoders from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition. United Kingdom: Packt Publishing. Then answer…

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Search Engine Assignment (Due by 11:59pm Monday Sept 23). This assignment has tw Search Engine Assignment (Due by 11:59pm Monday Sept 23). This assignment has two parts that should in total be 2 -3 pages. (More is fine if you run over. It can be double spaced but use 12pt font – Times New Roman,…

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Need to complete Tasks from the below .ipynb (Q1-Q7) https://colab.research.goog Need to complete Tasks from the below .ipynb (Q1-Q7) https://colab.research.google.com/drive/1qWTht38Yl…

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This project is intended to be an introduction to Data Science and Machine Learn This project is intended to be an introduction to Data Science and Machine Learning concepts as they are applied in the Cybersecurity domain. Beyond basic Python experience we don’t expect you to be familiar with these concepts so it will require…

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