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vgauss07/README.md

Applied Mathematician: Machine Learning Engineering, Decision Science & Data Science.

Interests

Deep Learning - Neural Networks - Natural Language Processing - Bayesian Learning Machine Learning - Probability & Statistics - Artificial Intelligence - Differential Equation Quantum Physics - Network Analysis - Graph Theory - Linear Algebra - Computer Vision - Data Exploration - Quantitative Modeling.

Contact

E-mail: vgauss23@outlook.com | vgauss07@gmail.com

Social media: LinkedIn | Twitter

Tech Stack: Languages & Tools

MySQL MongoDB Django Docker Git TensorFlow PyTorch Keras Python R RStudio Jupyter Notebook MicrosoftSQLServer Flask AWS Bitbucket Tableau Power Bi

Learning & Self Development

Udemy GeeksForGeeks Coursera edX Hackerrank LeetCode

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  1. Breast_Cancer_Prediction Breast_Cancer_Prediction Public

    Jupyter Notebook 1

  2. Combinatorial_Optimization Combinatorial_Optimization Public

    This project aims to solve a combinatorial problem; knapsack problem using a genetic algorithm.

    Jupyter Notebook 1

  3. ComputationalPhysicsPythonImplementation ComputationalPhysicsPythonImplementation Public

    Python implementation of selected mathematical concepts applied that are typically applied in the field of physics

    Jupyter Notebook

  4. DataScienceForBusinessApplications DataScienceForBusinessApplications Public

    Applying data science methodologies to multiple use cases. Leveraging learnings from Udemy.

    Jupyter Notebook

  5. Exploratory_Data_Analysis Exploratory_Data_Analysis Public

    Using tools of analysis in python, I explored this data, cleaned it to ensure that it is optimal for analysis. Bad data, bad results!

    HTML