Skip to content
View miteshyadav's full-sized avatar
Block or Report

Block or report miteshyadav

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Suprvised-Machine-Learning-for-Text-Classification Suprvised-Machine-Learning-for-Text-Classification Public

    This project successfully executes the Random Forest algorithm for classifying text data into pre-defined categories with an accuracy of 98%.

    Python 1

  2. Genetic-Algorithm-for-automated-hyperparameter-tuning Genetic-Algorithm-for-automated-hyperparameter-tuning Public

    Genetic algorithm for hyper parameter tuning of a deep Neural Network using Tensorflow

    Jupyter Notebook 3 1

  3. Text-Generation-using-RNN Text-Generation-using-RNN Public

    Text generation using Recurrent Neural Networks by training them on scraped positive and negative product reviews of Amazon to generate wholly new and original sequences of words

    Jupyter Notebook 1

  4. Graph-Analytics-using-Graphframes Graph-Analytics-using-Graphframes Public

    Comprehensive analysis of Twitter data using Graph algorithms like indegree/outdegree, motifs, label propogation, page rank, community detection, etc.

    Jupyter Notebook 1

  5. Sentence-similarity-using-word-vectors-and-LP Sentence-similarity-using-word-vectors-and-LP Public

    Algorithm to calculate sentence similarity as a linear optimization problem using Gurobi

    Jupyter Notebook

  6. Document-clustering-using-unspervised-learning Document-clustering-using-unspervised-learning Public

    Text analytics using unsupervised learning (K-means clustering)

    Python 2