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  • India

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Freak29/README.md

Hello, I'm Vaibhav Shikhar Singh! 👋

I'm a recent Computer Science graduate passionate about data science, machine learning, and AI.

🚀 Skills

  • Programming Languages: Python, C++
  • Data Science: Pandas, NumPy, Scikit-Learn
  • Machine Learning: Regression, Classification, Clustering
  • Tools: Git, GitHub, Jupyter Notebook
  • Databases: SQL

🌱 Projects

  1. Data Science & ML

    • Various projects related to data processing, Big data, data warehousing, etc.
    • Technologies used: Python, Machine Learning.

  2. Android App Development

    • Developed a Native Android App - BMI Calculator.
    • Technologies used: Android Studio, Java.

📫 Connect with Me

📊 GitHub Activity

Vaibhav's GitHub Activity

🎉 Let's Collaborate!

I'm always open to collaboration and new projects. Feel free to reach out if you have any interesting ideas or if you'd like to work together on something exciting!

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  1. Irisdataset_classification Irisdataset_classification Public

    I have analysed the iris dataset by using coorelation matrix, scatterplots finding the key insights in the data and then trained the dataset with 3 algorithms finally reaching the 100% accuracy.

    Jupyter Notebook 2

  2. Native-Android-App-Bmi-calculator Native-Android-App-Bmi-calculator Public

    Its front end is developed in xml and back end in Kotlin all compiled throughout in Android studio well its a basic app but learnt and tried a lot of things in it.

    1

  3. Term-Deposit-prediction-Project Term-Deposit-prediction-Project Public

    I have designed a Term deposit prediction system for banks using Data Science Algorithms as for which of the customers from the banks will be willing to take term deposits as Term deposits are a ma…

    Jupyter Notebook 1

  4. BostonHousingValuePrediction BostonHousingValuePrediction Public

    Boston House Prices Dataset was collected in 1978 and has 506 entries with 14 attributes or features for homes from various suburbs in Boston.

    Jupyter Notebook 1

  5. TitanicSurvivedpeople TitanicSurvivedpeople Public

    From the data set provided i have used some of the attributes to predict which of the passenger survived in the disaster.

    Jupyter Notebook 1

  6. CardFrauddetection CardFrauddetection Public

    It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase

    Jupyter Notebook 1