Data Visualization in Python using Matplotlib, Seaborn and Plotly Express
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Updated
Dec 28, 2021 - Jupyter Notebook
Data Visualization in Python using Matplotlib, Seaborn and Plotly Express
modified pair plot to show relationships in data
Conducting Exploratory Data Analysis of White Wine Quality Dataset
Exploratory Data Analysis on Haberman Dataset
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
This repository analyzes S&P 500 stock data for tech companies like Apple, Amazon, Google, and Microsoft. It covers data prep, price analysis, moving averages, daily returns, resampling, and correlation analysis. Visualizations include line plots, pair plots, and heatmaps, using pandas, seaborn, and matplotlib.
Exploratory Data Analysis and Multinomial Logistic Regression from scratch
This repository analyzes S&P 500 stock data for tech companies like Apple, Amazon, Google, and Microsoft. It covers data prep, price analysis, moving averages, daily returns, resampling, and correlation analysis. Visualizations include line plots, pair plots, and heatmaps, using pandas, seaborn, and matplotlib.
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