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Data Visualization in Python using Matplotlib, Seaborn and Plotly Express
pie-chart charts correlation plotly histogram data-visualization scatter-plot matplotlib heatmaps 3d-plot line-plot seaborn-plots plotly-express pair-plot
Conducting Exploratory Data Analysis of White Wine Quality Dataset
modified pair plot to show relationships in data
Data Visualization in Python using Matplotlib, Seaborn and Plotly Express
pie-chart charts correlation heatmap plotly histogram data-visualization scatter-plot matplotlib 3d-plot line-plot seaborn-plots plotly-express pair-plot
A machine learning project applying logistic regression for multi-class classification, ETL, model training, and visualization.
data-science machine-learning etl histogram data-visualization data-analysis scatter-plot logistic-regression dslr gradient-descent 42 mini-batch-gradient-descent pair-plot stohastic-gradient-descent
Exploratory Data Analysis on Haberman Dataset
This project aims to develop a robust machine learning pipeline to analyze demographic and health indicators to estimate what variables affect the increase cost of insurance. The primary focus is to move beyond descriptive statistics and build an automated system capable of quantifying financial risk for individual for increased health insurance.
python heatmap linear-regression kaggle healthcare scatter-plot health-insurance scatterplot google-colab pair-plot
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
python numpy smf eda p-value ols-regression statsmodels correlation-analysis collinearity-diagnostics heteroscedasticity vif multi-linear-regression leverage-score residual-analysis pair-plot cooks-distance r-square-values homoscedasticity regress-exog
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.
heatmap data-visualization data-analysis matplotlib data-collection data-cleaning numpy-library pandas-library seaborn-plots pair-plot
Using a dataset of the Top Spotify Songs of 2023, I create a stacked bar chart, clustered bar chart, and pair plots to utilizing a Spotify Top Songs of 2023 dataset, I explore the attributes of energy, danceability, valence, liveliness, acousticness, and speechiness and its relation for the balance of a hit song.
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