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This project performs **exploratory data analysis (EDA)** and **multidimensional visualizations** on the UCI Wine Quality dataset (Red & White wines).
radar parallel eda pca-analysis scatter-plot wine-quality k-means-clustering pairplot wine-quality-prediction andrews-curve plots-in-python
The dataset used for this project is taken from the official UCI Machine Learning Repository.
python data-science machine-learning data-mining linear-regression scikit-learn sklearn data-visualization data-analysis ridge-regression support-vector-machines lasso-regression pairplot r2score svr-regression-prediction elasticnet-regression steel-industry-energy-consumption
Assignment-05-Multiple-Linear-Regression-2. 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 y…
python numpy smf eda p-value mlr ols-regression statsmodels correlation-analysis collinearity-diagnostics heteroscedasticity vif rsquare-values pairplot multi-linear-regression leverage-score residual-analysis cooks-distance homoscedasticity regress-exog
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
python scatter-plot ols statsmodels correlation-analysis multiple-linear-regression p-values pairplot leverage-score regression-plots ols-regression-model cooks-distance r-square-values influence-plot
The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset
histogram feature-selection adaboost evaluation-metrics hyperparameter-search feature-importance random-forest-classifier pairplot randomized-search svc-svm
Iris-Dataset-Prediction-using-Unsupervised-ML This project involves the analysis of the Iris dataset using Python. It includes code to determine the optimum number of clusters using the K-means clustering algorithm, visualizations such as scatter plot, pair plots and hist plots, and other insights into the dataset.
python numpy sklearn jupyter-notebook histogram pandas data-visualization seaborn data-analysis matplotlib dataframe csv-file scatterplot unsupervised-machine-learning k-means-clustering pairplot
A simple analysis of Zlatan Ibrahimović's club career.
Visualization using Matplotlib and Seaborn
histogram python3 seaborn matplotlib boxplot swarmplot densityplot matplotlib-tutorial barplot violinplot jointplot pairplot matplotlib-pyplot seaborn-plots seaborn-tutorial distplot stripplots pieplot seaborn-image combined-plots
Seaborn Visualization on Titanic Dataset Visual exploration of different features on No. of people survived or otherwise Visualization using FacetGrid function, Lambda function and criterion function Visualization of subplots
python numpy lambda-functions pandas seaborn criteria boxplot groupby barplot facetgrid pairplot subplots distplot
Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot
visualization python numpy panda boxplot swarmplot densityplot bivariate violinplot univariate jointplot pairplot seaborn-plots seaborn-tutorial stripplots
Python matplotlib, seaborn and plotly plots cheat sheet
python pie-chart plotly histogram seaborn scatter-plot matplotlib boxplot iris-dataset barplot 3d-scatter-plot pairplot googlecolab distplot clustermap
Seaborn “Beginner-to-Pro” EDA guide: clean, modular plot patterns + reusable mini EDA pipeline.
python statistics best-practices numpy heatmap jupyter-notebook eda pandas data-visualization seaborn facetgrid jointplot pairplot
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
python p-value scatter-plot ols statsmodels correlation-analysis pairplot multi-linear-regression leverage-score regression-plot ols-regression-model cooks-distance r-square-values influence-plot
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
python histogram dataset scatter-plot pair descriptive-statistics boxplot iris-data iris-flowers visualstudio iris-setosa iris-virginica iris-plant pairplot cmdr iris-species iris-versicolour sepal
DETECTER DES FAUX BILLETS AVEC PYTHON
python pie-chart numpy heatmap linear-regression sklearn pandas seaborn pca scatter-plot logistic-regression matplotlib confusion-matrix acp kmeans-clustering spicy shapiro-wilk pairplot durbin-watson-test
1st Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Exploratory Data Analysis
This repository contains the file for the task that was done as part of my internship in The Sparks Foundation with specialization - Data Science & Business Analytics.
python data-science jupyter numpy sklearn seaborn business-analytics barplot violinplot pairplot matplotlib-pyplot thesparksfoundation thesparksfoundationinternship gripjan22
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