Predicting the price by its description | ML Algorithms
This is a task in the course Introduction to Data Science. Our team was going to predict the price of products by their description.
This is a task in the course Introduction to Data Science. Our team was going to predict the price of products by their description.
Deduce forward propagation and back propagation algorithms of neural network with single hidden layer, and program (neural network in ‘Sklearn’ can be used). discuss the impact of 10,30,100,300,1000, different number of hidden nodes on network performance. Explore the influence of different learning rate and iteration times on network performance. Change the standardized method of data to explore the impact on training.
Implement FindS and ID3 algorithms.
Implement kNN and Naive Bayes using Breast_cancer dataset.
Implement Fisher, SVM and K-Means algorithms and optimize them.