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vn33/README.md

Hi 👋, I'm Vishal Naik, a Data Scientist

I'm a passionate Data Scientist with a focus on Natural Language Processing, Machine Learning and Deep Learning. 🤖✨

vn33

vn33

Connect with me:

vishalnaik33 vishalpnaik @vnaik7107_49590

Languages and Tools:

python pandas scikit_learn flask seaborn tensorflow c cplusplus git hive javascript linux mongodb mssql mysql

vn33

Pinned

  1. Ecommerce-Product-Categorization Ecommerce-Product-Categorization Public

    Accurate categorization of eCommerce products improves user experience and boosts search engine visibility. The project goal is to classify products into 14 predefined categories using their descri…

    Jupyter Notebook

  2. Movie-Recommendation-System Movie-Recommendation-System Public

    A versatile Movie Recommendation System employing Collaborative, Popularity, Content-Based, and Hybrid Filtering. It enhances user engagement on streaming platforms with personalized movie suggesti…

    Jupyter Notebook

  3. Next-word-Predictor-LSTM Next-word-Predictor-LSTM Public

    Predict next word in sentences using LSTM. Trained on GitHub Copilot support data. Command-line & GUI versions available. Improve text prediction now!

    Jupyter Notebook

  4. Loan-Defaulters-Classifier Loan-Defaulters-Classifier Public

    In this repository, we analyze loan application data to predict defaults. Emphasizing model recall, we employ EDA, preprocessing, and model selection. Explore our process and results for effective …

    Jupyter Notebook

  5. Cluster-Analysis-of-Player-Performance-using-Ball-by-Ball-Dataset Cluster-Analysis-of-Player-Performance-using-Ball-by-Ball-Dataset Public

    The objective of this project is to develop a robust data-driven solution that identifies and categorizes top-performing batsmen in the Indian Premier League (IPL) based on their performance metrics.

    Jupyter Notebook

  6. Intensity-Analysis-EmotionClassification Intensity-Analysis-EmotionClassification Public

    Predict emotions (happiness, anger, sadness) from WhatsApp chat data using machine learning and deep learning models. Includes text normalization, vectorization (TF-IDF, BoW, Word2Vec, GloVe), and …

    Jupyter Notebook