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Learning continues...
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Learning continues...
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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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abhijitpaul0212/README.md
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Hey there

I'm a Lead SDET-Python & Pursing Data Science & Machine Learning

  • 🌱 I’m currently learning different types of Machine Learning Algorithms and working on creating End-2-End ML Project with CI/CD pipelines and AWS cloud deployments.
  • 🔭 I've worked on creating few End-2-End Web Development projects using Flask and Jinja2 templates.
  • 🌍 I do keep creating blogs and share my knowledge and learnings on Medium
  • 👯 I’m looking to work collaborately on Data Science/Machine Learning open source projects.
  • ⚡ Ask me about Python, Flask Web Development, Statistics, Machine Learning algorithms, Exploratory Data Analysis, AWS Project Deployment, MongoDB, MySQL
  • 💬 Let's connect ☕️


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  1. BlogVerse BlogVerse Public

    BlogVerse is a Blog Creator Web Application developed using Python, Flask, CSS, HTML & BootStrap

    HTML 9 1

  2. HabitTracker HabitTracker Public

    This is a mini project created a part of learning using HTML, CSS (Frontend) | Flask (Server) | MongoDB (Data Storage)

    HTML 1

  3. GemstonePricePrediction GemstonePricePrediction Public

    Gemstone Price Prediction - End to End ML Project with AWS deployment

    Jupyter Notebook 3

  4. Restaurant-Rating-Prediction Restaurant-Rating-Prediction Public

    This project focuses on building a restaurant rating prediction model using machine learning techniques. The model aims to predict ratings of restaurant based on various demographic and restaurant-…

    Jupyter Notebook 1

  5. SpamClassifier SpamClassifier Public

    A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.

    Python

  6. Credit-Card-Default-Detection Credit-Card-Default-Detection Public

    This project focuses on building a credit card fault detection model using machine learning techniques. The model aims to predict default payments based on various demographic and credit-related fe…

    Jupyter Notebook