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Learning to build in the open
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Learning to build in the open
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Champraise/README.md

About Me

As a physics graduate, I have a strong inclination toward problem-solving which led me to pursue a career as a data scientist, who is passionate about creating AI tools for businesses. Recently, I completed a course on AI programming with Python from Udacity, during which I developed a command-line application that classifies flower species using images. This project helped me improve my programming skills in Python and familiarized me with libraries like Numpy, Pandas, and Matplotlib, and gained a deeper understanding of neural networks.

To enhance my skills and take my career to the next level, I am currently immersing myself in the field of data science. I am taking the Google Data Analytics Coursera program, which has provided me with a comprehensive understanding of the fundamental concepts of data analysis and visualization tools such as SQL, Python, and Google Analytics. I am eager to apply this knowledge to real-world problems and continue to develop my programming skills in data science.

Below is my certification from AI programming with Python Nanodegree and Python Programming Foundations

Certification AI with Python Nanodegree



Certification Python Foundations from Udacity

Be about that ACTION and Go Do It

Python Udacity

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  1. Image-classifier-udacity Image-classifier-udacity Public

  2. udacity_final_submission udacity_final_submission Public

    Collection of files for training a pytorch model and predicting an image

    HTML

  3. udacity_workspace udacity_workspace Public

    Repository for Use a Pre-trained Image Classifier to Identify Dog Breeds

    Python

  4. dataset-project dataset-project Public

    For Udacity

    HTML

  5. data_wrangling_exercises data_wrangling_exercises Public

    This folder is for all data_wrangling_exercises for the book

    Jupyter Notebook

  6. Web-Dev-For-Beginners Web-Dev-For-Beginners Public template

    Forked from microsoft/Web-Dev-For-Beginners

    24 Lessons, 12 Weeks, Get Started as a Web Developer

    JavaScript