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  1. Marine-Microplastics Marine-Microplastics Public

    This is an exploratory data analysis of National Oceanic and Atmospheric Adminstration's (NOAA) marine microplastics data to know and understand microplastics, their growth rate with respect to var…

    Jupyter Notebook

  2. Customer-Churn-using-KNN Customer-Churn-using-KNN Public

    Here a KNN Model is created and fit to the customer churn data of a telecom company, alongwith K-value is interpreted whether the model is underfitting or overfitting and check the workability of t…

    Jupyter Notebook

  3. Diabetes-Linear-Regression Diabetes-Linear-Regression Public

    This is a linear regression model of diabetes dataset to check how different features are associated with each other and responsible to predict diabetes on human beings. The model is optimized with…

    Jupyter Notebook

  4. Music-genre-prediction Music-genre-prediction Public

    In this notebook, the music dataset is cleaned and preprocessed to fit with Logistic Regression model and accuracy was evaluated. Alongwith scaling, balancing and PCA analysis was done to check for…

    Jupyter Notebook

  5. Sentiment-Analysis-IMDB Sentiment-Analysis-IMDB Public

    This is a project related to sentiment analysis of IMDB movie reviews. The model will check whether a new review done is positve or negative.

    Jupyter Notebook

  6. Risk-and-Returns-The-Sharpe-Ratio Risk-and-Returns-The-Sharpe-Ratio Public

    Here we will learn about "The Sharpe Ratio" by calculating it for the stocks of the two tech giants Facebook and Amazon. As benchmark we will use S&P 500 that measures the performance of the 500 la…

    Jupyter Notebook