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Nidhi0704/README.md

👋 Hi, I'm Nidhi Sharma

💡 Data Science Enthusiast | Silver Badge HackerRank in Python | Turning Data into Insights

About Me

Welcome to my GitHub profile! I'm Nidhi Sharma, an aspiring data scientist from India with a deep passion for uncovering insights from data. I believe in the power of data to drive decisions, and I’m committed to learning and building a career in data science.

  • 👀 Passionate Learner: Currently diving deep into data science, learning from experts.
  • 🌱 Skills: Machine Learning, Python, SQL, Flask, Pandas, NumPy, Matplotlib, Scikit-learn, and more.
  • 🚀 Currently Working On: Hands-on machine learning projects, experimenting with real-world data, and continuously improving my skills.
  • 💼 Hackerrank Achievements: Proud holder of 4 stars in Python and striving to master more!
  • 📫 Let’s Connect: Feel free to reach out via Email or connect with me on LinkedIn, Portfolio

🔨 My Projects

Here are a few of my key projects. Feel free to explore!

  • Project 1: AMAZON-SMART-WATCH: Implemented a machine learning model to predict the amazon's smart watch price prediction based on various features. Tools used: Python, Scikit-learn, Pandas, web scrapping, Regression algorithm, Flask
  • Project 2: Bankloan-Prediction--Classification-Regression: Built a classification model to analyze that the user eligibke to get a Bankloan or not. Tools used: Python, Machine Learning, and Flask. Classification Algorithm.
  • Project 3: Human vs AI Text Classification: Build a classification model, that tell us about that the given text is written by AI or by the Human, Tools used:- Python, Feature engineering, Machine Learning (Naive Bayes), Model evaluation, and the Flask with HTML and CSS.
  • Project 4: Book Recommendation System: A Flask-based Book Recommendation System using a dataset of top 50 books, combining content-based and collaborative filtering for personalized recommendations based on user preferences and ratings.

💻 Languages Used

  • Programming Languages: Python, SQL
  • Data Science Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-Learn
  • Web Development: Flask, HTML, CSS, JavaScript
  • Version Control: Git, GitHub
  • Machine Learning: Supervised and Unsupervised learning(Clustring, Association)

📊 GitHub Stats

GitHub Stats Top Languages

⚡ Fun Fact

I’m obsessed with creating meaningful stories from data and aspire to become a data scientist who drives positive impact in the real world.

Popular repositories Loading

  1. Deployment Deployment Public

    Jupyter Notebook 1 1

  2. Book-Recommendation-System Book-Recommendation-System Public

    A Flask-based Book Recommendation System using a dataset of top 50 books, combining content-based and collaborative filtering for personalized recommendations based on user preferences and ratings.

    Python 1

  3. AMAZON-SMART-WATCH AMAZON-SMART-WATCH Public

    this project is about to predict the smart watch price that data are scrapped by the amazon website, and predict the price by using Regression model.

    Jupyter Notebook 1

  4. Bankloan-Prediction Bankloan-Prediction Public

    In this repository, I create a model that tell the user that you are eligible to the bankloan or not.

    Jupyter Notebook 1

  5. Human-Vs-AI-Text-Classifier Human-Vs-AI-Text-Classifier Public

    AI vs Human Text Classifier: Predicts if text is generated by AI or written by humans.

    Jupyter Notebook 1

  6. Nidhi0704 Nidhi0704 Public

    Config files for my GitHub profile.