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ashishyadav24092000/README.md
  • 👋 Hi, I’m @ashishyadav24092000(Ashish Kumar Yadav)
  • 👀 I’m deeply intrigued by the subject - Data Science (i.e. powerful insights and highly measured decisions)
  • 🌱 I’m currently learning Data Science, Machine learning, Artificial Intelligence with tools like - Python,Tableau,Gretl,Excel,MySQL,Microsoft BI,R,C++,C
  • 💞️ I’m currently looking for an internship opportunity in the field of Data Science.
  • 📫 How to reach me - [email protected]

Popular repositories Loading

  1. Surface-Roughness-Variance Surface-Roughness-Variance Public

    To determine whether the standard deviation for the roughness of surfaces for the two processes can be or cannot be said to be different from one another with an significance level 0f 10 percent.

    Jupyter Notebook 2

  2. TukeyKramerTest_MultiComparisonOFMEAN TukeyKramerTest_MultiComparisonOFMEAN Public

    It compares the pair of mean tensile strength having significantly equal means using tukey cramer test. It will further help us to improve our decisions based on this insight at the production and …

    Jupyter Notebook 2

  3. Residual-Analysis-in-Linear-Regression Residual-Analysis-in-Linear-Regression Public

    Residual analysis in Linear regression is based on examination of graphical plots which are as follows :: 1. Residual plot against independent variable (x). 2. Residual plot against independent var…

    Jupyter Notebook 2

  4. Hypothesis-testing-for-pizza-delivery-problem Hypothesis-testing-for-pizza-delivery-problem Public

    This mini project performs hypothesis testing on a pizza delivery sample problem to make an inference whether the mean time for delivering the pizza is being met or not for a large population with …

    Jupyter Notebook 1

  5. Milk-Cartoon-mean-quantity-hypothesis-test Milk-Cartoon-mean-quantity-hypothesis-test Public

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  6. FAKE-NEWS-DETECTION FAKE-NEWS-DETECTION Public

    We have detected fake news with Python in this project. We took a political dataset, implemented a TfidfVectorizer, initialized a PassiveAggressiveClassifier, and fit our model. We ended up obtaini…

    Jupyter Notebook 1