namana-pawar

Pinned Repositories

• NLP

  Two programs: hmmlearn.py will learn a hidden Markov model from the training data, and hmmdecode.py will use the model to tag new data. the program will read the parameters of a hidden Markov model from the file hmmmodel.txt, tag each word in the test data, and write the results to a text file called hmmoutput.txt in the same format as the training data.

  Language:Python10

• amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook00

• Developer-Analysis

  Language:Python00

• Frequent-Itemsets

  Frequent words in Yelp reviews

  Language:Scala00

• Intelligent-Software-Agent-for-Game-Playing

  Created an intelligent software agent which employs Minimax algorithm with Alpha-beta pruning that can play the game Fruit Rage against a human or another agent. Fruit Rage is a game that captures the nature of a zero sum two player game with strict limitation on allocated time for reasoning.

  Language:Java00

• ODU

  Language:Python00

• okhttp

  An HTTP client for Android, Kotlin, and Java.

  Language:Java00

• Recommendation-System

  Yelp Recommendation System

  Language:Scala00

• SmartCity

  Language:Arduino00

• TestPostCommits

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namana-pawar's Repositories