Which is the reconstruction error if you would use two principal components?

We have a 2D dataset and we want to reduce its dimensionality to 1D using PCA. The first principal axis is given by eigenvector (0.6940, 0.7200)T . a) What is the PCA representation for the data sample (5.51, 5.35) in the first principal axis? b) Consider the 1D representation of that data sample according to… Continue reading Which is the reconstruction error if you would use two principal components?

Which are the coordinates (in the original space) of the reconstructed sample?

We have a 2D dataset and we want to reduce its dimensionality to 1D using PCA. The first principal axis is given by eigenvector (0.6940, 0.7200)T . a) What is the PCA representation for the data sample (5.51, 5.35) in the first principal axis? b) Consider the 1D representation of that data sample according to… Continue reading Which are the coordinates (in the original space) of the reconstructed sample?

How would you handle them?

This assignment contains 3 problems Problem 1 – MNIST Data Set (10 points) Use the MNIST dataset to classify the type of apparel using an artificial nueral network. https://www.kaggle.com/zalando-research/fashionmnist You may use the library of your choosing We went over this is class, so this is an easy one to get you started. Grading criteria:… Continue reading How would you handle them?

Think about a situation where feature extraction might be required.

Using the attached file Feature_Selection.ipynb as the source, create an ipynb file Think about a situation where feature extraction might be required. Share it through markdown cell(s) in your .ipynb notebook. Starting from the auto_imports1.csv file and beginning at the point where you have built the df2 dataframe, use feature extraction techniques from the three… Continue reading Think about a situation where feature extraction might be required.

This will support your work in project one, which is due in the next module.

Overview This assignment will help you get hands-on experience training convolutional neural networks in Keras and using them to make predictions. This will deepen your understanding of neural networks. You will then gain practice considering the ethical and legal implications of this type of technology. This will support your work in Project One, which is… Continue reading This will support your work in project one, which is due in the next module.

Did you modify your implementation of KNN from HW1?

A practical application in e-commerce applications is to infer sentiment (or polarity) from free-form review text submitted for a range of products, movies, places, etc. For the purpose of this assignment, you have to implement a k-Nearest Neighbor Classifier to predict the sentiment for 18,000 reviews for restaurants provided in the test file (new_test.csv). Positive… Continue reading Did you modify your implementation of KNN from HW1?

Which model is the most accurate and do you believe the improvement in accuracy is worth the lack of statistical significance that is lost from these optimized model?

Learning Goal: I’m working on a machine learning question and need an explanation and answer to help me learn. You have a dataset about whether or not someone got in an accident that year. It is important for this insurance company to understand what features about a person or vehicle, makes them more likely to… Continue reading Which model is the most accurate and do you believe the improvement in accuracy is worth the lack of statistical significance that is lost from these optimized model?