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Achievement: Arctic Code Vault Contributor

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NitinNandeshwar/README.md

Hi there,I'm Nitin!

  • 🔭 I’m currently working on Collaborative Robot Operational Safeguard System and Scalable Ethernet Switch.
  • 🎯 Goal (2022): Contribute openly to Robotics and Indsutrial Automation community.
  • 📌 Scroll down to see my Pinned Repositories.
def Nitin():
  skills_with_proficiency = {'Python': 'Advance','R': 'Advance','SQL': 'Advance', 'Robotics' : 'Advance'
                            'Tableau': 'Intermidiate','Excel': 'Intermidiate' ,'Computer Vision': 'Intermidiate'}
  tools = ['numpy', 'pandas', 'sklearn', 'nltk', 'matplotlib', 'seaborn', 'keras', 'flask', 'Tensorflow']
  cloud_architecture = ['AWS', 'Google']
  active_blogger = True
  return ∞

Connect me on:

Pinned Loading

  1. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Performed EDA, Data Pre-processing, Imbalance data and Supervised Machine learning to predict customer transaction is fraud using features such as services that customer has signed up for, customer…

    Jupyter Notebook 1

  2. Bank-and-Financial-Services-Risk-Analysis Bank-and-Financial-Services-Risk-Analysis Public

    Done EDA using Python and Tableau to identify patterns that indicate if a client has difficulty paying their installments which may be used to taking actions such as denying the loan, reducing the …

    Jupyter Notebook

  3. Restaurant-Sentiment-Analysis Restaurant-Sentiment-Analysis Public

    Used UCI Dataset and Natural language processing (NLP) for classifying customer reviews and analyzing the sentiment as positive/happy or negative/sad.

    Python

  4. Prediction-of-House-Price-using-Excel Prediction-of-House-Price-using-Excel Public

    Create an excel report that contains all the meaningful information such as relevant charts, pivot tables, etc. Mention all the variable which are highly correlated. Used the linear regression mode…

    1 2

  5. Online-product-review-Sentimental-Analysis-using-NLP Online-product-review-Sentimental-Analysis-using-NLP Public

    Web scraping is a very powerful tool to learn for any data professional. With web scraping, the entire internet becomes your database. In this repository how to parse a web page into a data file (C…

    Python

  6. Customer-Segmentation-Clustering- Customer-Segmentation-Clustering- Public

    Applied Clustering algorithm(K-means) for Customer Segmentation, which is partitioning a customer base into groups of individuals with similar characteristics.

    Jupyter Notebook