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guvi-projects

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To work on the project of YouTube data harvesting and warehousing, the first step is to extract information from a specific YouTube channel using the YouTube channel ID. Subsequently, this data can be analyzed in response to a set of user-provided questions. || Python, Pandas,MongoDb,Build,Mysql,Streamlit,Plotly ||

  • Updated Nov 1, 2023
  • Python

Codekatas typically involve writing code to solve a specific problem, and the goal is to write efficient, working code that meets the requirements of the problem statement. In this repository you can find the python programs which is related to arrays.

  • Updated Sep 16, 2023

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

  • Updated Feb 5, 2024
  • Jupyter Notebook

To work on the project of YouTube data harvesting and warehousing, the first step is to extract information from a specific YouTube channel using the YouTube channel ID. Subsequently, this data can be analyzed in response to a set of user-provided questions. Python, Pandas,MongoDb,Build,Postgresql,Streamlit.

  • Updated Jan 6, 2024
  • Python

Collecting YouTube data using google API and storing the data in MongoDB(NoSQL) and Migrating the stored data from MongoDB into SQL and creating a user friendly Streamlit web app for the visualization and to get a better understanding of the YouTube channels and video details. All with the help of Python and Python libraries.

  • Updated Dec 3, 2023
  • Python

This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.

  • Updated Mar 15, 2023
  • Jupyter Notebook

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