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scatterplots
Here are 14 public repositories matching this topic...
Supplementary materials for the BIY paper.
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- Python
The World Weather Analysis repo utilizes Python and Jupyter Notebook in conjunction with decision and repetition statements, data structures, Pandas, Matplotlib, NumPy, CitiPy, and SciPy statistics to retrieve and use data from OpenWeatherMap and Google Map API. The APIs are used to "get" requests from a server, retrieve and store values from a …
python json analysis numpy linear-regression jupyter-notebook pandas data-structures scipy openweathermap-api openweathermap get matplotlib googlemaps-api citipy scatterplots scipy-stats
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- Jupyter Notebook
🔴 Credit Risk Prediction 🔴 A machine-learning–based analysis designed to predict whether a loan applicant is likely to default. Using a refined Credit Risk Dataset, I cleaned, processed, and visualized key financial features such as income, loan amount, and credit history. Multiple classification models were trained with accuracy.
python machine-learning kde scikit-learn logistic-regression histograms hyperparameter-tuning binary-classification bar-charts pie-charts model-evaluation boxplots model-training train-test-split scatterplots dataset-splitting visual-patterns technical-tools detecting-and-treating-outliers
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- Jupyter Notebook
his task involved performing Exploratory Data Analysis (EDA) on the Titanic dataset using various visualizations such as bar plots, scatter plots, box plots, and distribution plots. The goal was to uncover patterns and relationships between passenger attributes (Age, Sex, Fare, Family Size, Class, etc.) and survival outcomes.
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Implement advanced operations and data handling techniques on essential Python libraries to perform statistical descriptive analysis
visualization python distribution numpy pandas indexing arrays matplotlib histograms dataframe slicing csv-file scatterplots identity-matrices conditional-subsetting descriptive-statistical-analysis random-variable
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- Jupyter Notebook
This repo consists of the scripts and results files associated with the pythhon api challenge done as homework for the MSU Data Science Boot Camp
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- Jupyter Notebook
This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.
ggplot2 linear-regression data-transformation data-visualization regression-diagnostics scatterplots data-inspection missing-data-handling
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- R
Quick plots in Python as a visual support for the Curse of Dimensionality phenomenon.
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- Python
The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…
python analysis numpy pandas-dataframe pandas scipy matplotlib pivot bubble-chart line-charts bar-charts pie-charts groupby resample scatterplots box-and-whisker-plots
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- Jupyter Notebook
Advanced analytics skills for geographic visualisation using Python and Tableau.
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- Jupyter Notebook
Elements of data visualization with Python 3
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- Python
Advanced exploratory analysis in Python using supervised and unsupervised machine learning to understand the dimensions of global disaster risk.
time-series linear-regression forecasting cluster-analysis scatterplots tableau-dashboard geospatial-visualizations pair-plots categorical-plots correlation-heatmaps
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- Jupyter Notebook
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