Skip to content
View VanshikaMahajan1603's full-sized avatar

Block or report VanshikaMahajan1603

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse

Pinned Loading

  1. Ecommerce_Sales- Ecommerce_Sales- Public

    SQL-based analysis of 10,000 e-commerce sales to explore customer trends, order status, delivery time, and cancellation insights.

    Jupyter Notebook

  2. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

    This project uses machine learning to classify tweets as positive or negative. After cleaning and vectorizing 212K tweets, models like Logistic Regression, SVM, and Random Forest were trained. Logi…

    Jupyter Notebook

  3. Book-Recommendation-System Book-Recommendation-System Public

    A book recommendation web app built using machine learning techniques like popularity-based filtering and collaborative filtering. Trained on the Book-Crossing dataset with 1.1M+ ratings, it uses c…

    Jupyter Notebook

  4. AgroInsight-Q-A-System AgroInsight-Q-A-System Public

    An interactive Q&A system that extracts actionable insights from agricultural data (1997–2014). It combines efficient EDA, a rule-based query engine, and a Gradio interface to answer questions on c…

    Jupyter Notebook

  5. Analysis-of-Increasing-Petrol-Prices Analysis-of-Increasing-Petrol-Prices Public

    A statistical analysis of petrol prices in Indian metro cities from May 2017 to Feb 2023 using CPI, exchange rate, crude oil price, and import quantity. Techniques used include SLR, MLR, and time s…

  6. Image-Captioning Image-Captioning Public

    This project focuses on image captioning by integrating deep learning and NLP. Using the Flickr8k dataset, we apply SVD and Laplace filters for preprocessing, DenseNet201 for feature extraction, an…

    Jupyter Notebook