Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

visualization python api smf eda pandas seaborn goodness-of-fit hypothesis-testing ols-regression statsmodels simple-linear-regression correlation-analysis significance-testing rsquare-values distplot regplot

• Updated Jun 8, 2021
• Jupyter Notebook

Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.

visualization python smf eda pandas seaborn p-value model-predictions goodness-of-fit ols-regression statsmodels simple-linear-regression correlation-analysis t-score distplot determination-coefficient r-square-values regplot

• Updated Jun 9, 2021
• Jupyter Notebook

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

pandas-dataframe plotly-python textblob-sentiment-analysis matplotlib-pyplot wordcloud-visualization numpy-python regplot seaborn-python boxplot-visualization seaborn-heatmaps

• Updated Sep 9, 2024
• Jupyter Notebook

Pump-up the glam in Jupyter Notebooks with innovative tools like Plotly, MatPlotLib and Seaborn.

python3 bar scatter-plot sunburst-chart matplotlib comprehension choropleth-map boxplot rolling-average seaborn-plots plotly-express regplot histplot

• Updated Jan 20, 2023
• Jupyter Notebook

Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.

visualization json analytics numpy jupyter-notebook stata pandas python3 seaborn matplotlib choropleth-map scatterplot matplotlib-pyplot plotly-express regplot

• Updated Apr 15, 2024
• HTML

In this we have coded in python to get the regression equation and find the confidence interval and prediction interval.

linear-regression prediction confidence-intervals statsmodels summary-tables matplotlib-pyplot regplot outliers-influence

• Updated Jan 11, 2022
• Jupyter Notebook

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

python sales data-science machine-learning jupyter numpy scikit-learn exploratory-data-analysis jupyter-notebook project pandas seaborn artificial-intelligence accuracy matplotlib ridge-regression boxplot r2 ridge-regression-model regplot

• Updated Oct 13, 2024
• Jupyter Notebook