Skip to content
View hardikasnani's full-sized avatar
🎯
Focusing
🎯
Focusing
Block or Report

Block or report hardikasnani

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. sentiment-analysis-leveraging-lstm sentiment-analysis-leveraging-lstm Public

    I built Sentiment Analysis models leveraging a deep learning approach utilizing the customer reviews of Amazon products. Since Long Short Term Memory Network (LSTM) is very effective in dealing wit…

    Jupyter Notebook 2

  2. gpt3-language-model gpt3-language-model Public

    Presentation and Practical on a popular NLP paper - Language Models are Few-Shot Learners.

    Jupyter Notebook 1

  3. diamond-price-and-carat-prediction diamond-price-and-carat-prediction Public

    I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using …

    Jupyter Notebook 1 2

  4. classifying-and-clustering-the-newsgroups classifying-and-clustering-the-newsgroups Public

    I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performa…

    Jupyter Notebook 1

  5. dimensionality-reduction-on-microbiome-dataset dimensionality-reduction-on-microbiome-dataset Public

    I performed PCA and t-SNE on the microbiome dataset and visualized the data in 2D space. I also report what I learned from the PCA and t-SNE analyses.

    Jupyter Notebook 1

  6. ensemble-methods-on-breast-cancer-data ensemble-methods-on-breast-cancer-data Public

    I applied the bagging and boosting methods using the decision tree as the base predictor on the sklearn’s breast cancer data set. I experiment with different parameters and report the results obtai…

    Jupyter Notebook