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Anushqaa/README.md

Hi there! πŸ‘‹ I'm Anushqaa

πŸš€ About Me

I'm a passionate computer science student with a knack for problem-solving and a keen interest in machine learning. I love delving into the intricacies of data, uncovering patterns, and turning insights into impactful solutions.

πŸ”­ Currently Exploring

  • Machine Learning
  • Computer Vision
  • NLP problems

🌱 Learning & Growing

I'm on a continuous learning journey, exploring new technologies and staying updated with the latest trends in the world of computer science. Currently, I'm diving deep into the fascinating realm of machine learning and artificial intelligence.

πŸ› οΈ Tech Stack

  • Languages: Python, C++
  • Machine Learning: TensorFlow, Scikit-Learn
  • Web Development: HTML, CSS, JavaScript
  • Databases: SQL

πŸ’¬ Let's Connect!

Feel free to reach out if you share similar interests or if you just want to chat about tech, machine learning, or anything else! Excited to connect with fellow enthusiasts. 😊

Happy Coding! πŸš€

Popular repositories

  1. Sentiment-Analysis-on-IMDB-Movie-Reviews Sentiment-Analysis-on-IMDB-Movie-Reviews Public

    Employing sentiment analysis on 50,000 IMDB movie reviews to categorize audience reactions, offering filmmakers and businesses a unique lens into public perception.

    Jupyter Notebook 2

  2. ORV ORV Public

    Python 1

  3. Customer-Segmentation-and-Spending-Prediction Customer-Segmentation-and-Spending-Prediction Public

    Dive into the intricacies of machine learning and stacking techniques with a predictive model for customer spending, showcasing the power of ensemble learning through SVM, Extra Trees, AdaBoost, XG…

    Jupyter Notebook 1

  4. Adaboost-with-KNN Adaboost-with-KNN Public

    Unleash the combined prowess of K-nearest neighbors and Adaboosting in Python, showcasing the fusion of simplicity and performance for effective classification tasks.

    Jupyter Notebook 1

  5. New-York-City-Taxi-Fare-Prediction New-York-City-Taxi-Fare-Prediction Public

    A multifaceted solution harnessing four machine learning models to predict taxi fares, dissecting the nuances of New York City rides based on location, time, and passenger details.

    Jupyter Notebook 1

  6. Anushqaa Anushqaa Public

    .