r-square-values

There are 0 repository under r-square-values topic.

vaitybharati / Assignment-04-Simple-Linear-Regression-2
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
python numpy smf eda pandas data-visualization seaborn p-value model-predictions feature-engineering ols-regression statsmodels model-building simple-linear-regression correlation-analysis r-square-values t-score model-testing distplot regression-plot
Language:Jupyter Notebook 9
vaitybharati / Assignment-05-Multiple-Linear-Regression-1
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
python multiple-linear-regression statsmodels regression-plots influence-plot correlation-analysis pairplot ols ols-regression-model p-values r-square-values cooks-distance leverage-score scatter-plot
Language:Jupyter Notebook 3
vaitybharati / P25.-Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
python simple-linear-regression pandas seaborn statsmodels smf ols-regression eda visualization distplot correlation-analysis regplot t-score p-value r-square-values goodness-of-fit model-predictions determination-coefficient
Language:Jupyter Notebook 2
vaitybharati / P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.
python eda statsmodels influence-plot correlation-analysis scatter-plot ols-regression multi-linear-regression p-values r-square-values t-score collinearity-diagnostics residual-analysis vif homoscedasticity heteroscedasticity cooks-distance leverage-value aic
Language:Jupyter Notebook 1
PatilSukanya / Assignment-04.-Simple-Linear-Regression-Q1
Used libraries and functions as follows:
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-testing numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statmodels t-score
Language:Jupyter Notebook 0
shwetapardhi / Assignment-04-Simple-Linear-Regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Language:Jupyter Notebook 0
shwetapardhi / Assignment-05-Multiple-Linear-Regression-1
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
cooks-distance correlation-analysis influence-plot leverage-score multi-linear-regression ols ols-regression-model p-value pairplot python r-square-values regression-plot scatter-plot statsmodels
Language:Jupyter Notebook 0
shwetapardhi / 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 years Marketing Spend -- spend on Marketing in t
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Language:Jupyter Notebook 0
quickheaven / python-statsmodels-research
coefficients f-statistics jupyter-notebook python r-square-values statistics statsmodels data-science
Language:Jupyter Notebook
Sabbir185 / Machine-learning-with-python
supervised-machine-learning unsupervised-machine-learning linear-regression decision-tree confusion-matrix r-square-values random-forest neural-network k-means-clustering multi-layer-perceptron feature-engineering feature-transformation k-nearest-neighbors elbow-method
Language:Jupyter Notebook