Skip to content
View abhinay141's full-sized avatar
  • chennai,India
Block or Report

Block or report abhinay141

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

  1. shakespeare-sonnet-recommendation-engine shakespeare-sonnet-recommendation-engine Public

    it returns 5 similar sonnets in the vector space using cosine distances.

    Jupyter Notebook

  2. quora-insincere-question-prediction quora-insincere-question-prediction Public

    given a semantic glove text vector along with some hand engineered features , the model will predict, whether a question is sincere or not.The model managed a logg-loss score of 0.17, which is phen…

    Jupyter Notebook

  3. amazon-fine-food-reviews-senti-analysis amazon-fine-food-reviews-senti-analysis Public

    given a new text review, the algorithm predicts whether the review is positive or not

    Jupyter Notebook

  4. EDA--TUTORIAL EDA--TUTORIAL Public

    in this notebook all the important analysis and visualizations have been performed on the haberman dataset using different statistical methods, some of which you can use in your next exploratory da…

    Jupyter Notebook

  5. black-friday-sales-prediction black-friday-sales-prediction Public

    this a regression model which predicts the purchase of each and every customer. proper EDA was performed on the data before the features were considered,for prediction xg boost was used because of …

    Jupyter Notebook

  6. Personalized-cancer-diagnosis Personalized-cancer-diagnosis Public

    Classify the given genetic variations/mutations based on evidence from text-based clinical literature , in this project there were three features which included the gene,variation and text feature …

    Jupyter Notebook