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1. GPT-Neural-Network GPT-Neural-Network Public

   I went through a tutorial which involved re-creating a smaller version of the chatgpt-2.0 neural network and trained it on a million characters from the works of shakespear,

   Jupyter Notebook 1

2. Bengaluru-House-Prices-Prediction-WebApp-Flask Bengaluru-House-Prices-Prediction-WebApp-Flask Public

   Using Data on Bengaluru House Prices, did data cleaning and feature engineering, before implementing the LinearRegression machine learning model and implementing it in a web application with flask …

   Jupyter Notebook

3. LinearRegression-Model-with-ApacheSpark-and-DataBricks LinearRegression-Model-with-ApacheSpark-and-DataBricks Public

   Using Apache pySpark on DataBricks, I was able to do feature Engineering on Customer Data, trained and used a Linear Regression Model to predict their bill based on previous customer trends.

   Jupyter Notebook

4. Excel-EDA-Visualization_Carlifonia_Jobs_DataSet Excel-EDA-Visualization_Carlifonia_Jobs_DataSet Public

   This project involved Cleaning and Analyzing the Califonia Employee Dataset, it involved the use of Power Query, Pivot Tables, Pivot Charts and Creation of Visualizations and a Dashboard.

5. Scrapping_Wikipedia_Top_100_Companies Scrapping_Wikipedia_Top_100_Companies Public

   BeautufulSoup_Scrapping_Wikipedia_Top_100_US_Companies

   Jupyter Notebook

6. Data_Analysis_Web-App_with_Streamlit Data_Analysis_Web-App_with_Streamlit Public

   I created a simple web app using python, and streamlit that helps one to see an overview of a dataset and automate the process of data cleaning in pandas.

   Python