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an0wn's Projects

aima icon aima

Solutions to AIMA (Artificial Intelligence: A Modern Approach)

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

amazon-review-classifier icon amazon-review-classifier

This is a R-Shiny app which classifies Amazon reviews as real or fake simply by pasting the product URL.

awesome-flutter icon awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

csvw icon csvw

Documents produced by the CSV on the Web Working Group

daf-ontologie-vocabolari-controllati icon daf-ontologie-vocabolari-controllati

Elenco di ontologie e vocabolari controllati. Per maggiori informazioni, si veda il readme principale e quello di singoli vocabolari/ontologie, ove presente, e la seguente documentazione

datasciencecoursera icon datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deception-detection-on-amazon-reviews-dataset icon deception-detection-on-amazon-reviews-dataset

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

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