Machine Learning Analysis of Wisconsin and Mnist Datasets
VerifiedAI Summary
The main objective of this report is to analyze two different datasets with variety of machine learning algorithms. Here the datasets used are Wisconsin and mnist dataset. Here L1 and L2 regularization is used to find the accuracy of the model. Various graphs and tables have been included to process the required result. Logistic Regression has been performed to measure the accuracy of different models developed. Further accuracy also depends on hardware specification. The first part concludes the Binary classification of Wisconsin dataset and then performed Multiclass classification of mnist dataset. There have been different graph and tables were shown for different dataset to analyze the datasets. At the end we discussed about the conclusion of the report topic.
![[object Object]](/_next/image/?url=%2F_next%2Fstatic%2Fmedia%2Flogo.6d15ce61.png&w=640&q=75){kind=small}
![[object Object]](/_next/static/media/star-bottom.7253800d.svg)
