Collection of tools and notebooks dealing with data.
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Updated
Feb 7, 2021 - Jupyter Notebook
Collection of tools and notebooks dealing with data.
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Contains analysis of Lyft ride attributes and how it affects demand surge in the city of Boston.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
In this Notebook, I analyze the following five semiconductor stocks: HD, INTC, AMD, MU, NVDA, and TSM. Then, I choose the stock with the least correlation to JNJ in order to diversify a portfolio. The data was generated using the GOOGLEFINANCE historical market data script.
Logistic Regression Project
In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…
This notebook will show you how to perform exploratory data analysis on the Big Mart Sales dataset
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support …
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