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  • Quadrant Technologies
  • Mindspace, HYD

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Jampa1225/README.md

Hi 👋, I'm Jampa Rakesh

  • 🔭 I’m keenly interested in Data Analytics | Data Scientist | Machine Learning |.
  • 🌱 I’m learning advanced deep Learning, Tensorflow, OpenCV, Web Development, and Machine Learning.
  • 👯 I’m looking to collaborate on Projects.
  • 📫 How to reach me [email protected]
  • ⚡ Fun fact: I went from Recruiting people to analyzing data—loving the transition!😎😉😊 ... snakegame

Connect with me:

LinkedIn | Kaggle | Medium

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  1. Gradient-Descent-Explained-with-Python-A-Machine-Learning-Approach- Gradient-Descent-Explained-with-Python-A-Machine-Learning-Approach- Public

    In this tutorial - I will provide a detailed information about Linear Regression using Gradient Descent with Python - A Machine Learning Approach

    Python

  2. R_Powered_Statistical-Analysis_of_Youtube-Trending-Videos- R_Powered_Statistical-Analysis_of_Youtube-Trending-Videos- Public

    This project analyzes the YouTube trending video dataset using R. It demonstrates various data analysis and visualization techniques to uncover trends and insights about the most popular videos on …

    Jupyter Notebook

  3. IRIS-Notebook-by-using-Advanced-EDA-and-LogisticRegression IRIS-Notebook-by-using-Advanced-EDA-and-LogisticRegression Public

    I have performed both advanced and manual exploratory data analysis (EDA) on the dataset. You are welcome to choose the approach that best suits your needs. Additionally, I have built models using …

    Jupyter Notebook

  4. Data-Science-ML-Daily-Datasets Data-Science-ML-Daily-Datasets Public

    In this repository, I have provided daily updated datasets. You are welcome to download and share these with anyone who may be looking for relevant data.

    Python

  5. pycaret/pycaret pycaret/pycaret Public

    An open-source, low-code machine learning library in Python

    Jupyter Notebook 9.1k 1.8k

  6. Statistical-Foundations-and-Machine-Learning-Insights Statistical-Foundations-and-Machine-Learning-Insights Public

    A repository exploring statistical principles and their applications in machine learning. Features include fundamental statistical concepts, practical machine learning examples, and hands-on projec…