BoolTest - polynomial randomness tester
python research workers polynomials randomness pvalue experiments hypothesis estream zscore randomness-testing booltest secrypt nist-sts
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- Python
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pvalue
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Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms
random-forest heatmap eda pvalue confusion-matrix adaboost knn decision-tree supervised-learning-algorithms classification-model correlation-analysis parkinsons-detection accuracy-metrics dummyclassfier
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- Jupyter Notebook
EDA - Pre processing | Feature Engineering
distribution correlation pandas-dataframe eda pandas python3 outlier-detection pvalue covariance boxplot idr duplicate-detection violinplot skewness distribution-plot countplots heatmap-visualization
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- Jupyter Notebook
Tutorials for BSE classes.
machine-learning numpy linear-regression scikit-learn pandas seaborn supervised-learning matplotlib pvalue hypothesis-testing principal-component-analysis chisquare tvalue ttest multiple-linear-regression ordinary-least-squares rmse-score statmodels anova-analysis pca-scratch
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In this project, statistical analysis approach is employed to decide what hypothesis to be rejected. Scipy Stat library is used to find the pvalue that will determine if Hypothesis Null should or should not be rejected.
visualization exploratory-data-analysis pvalue data-preprocessing ttest statistical-data-analysis scipy-stats
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- Jupyter Notebook
Used libraries and functions as follows:
python numpy pandas stats scipy pvalue hypothesis-testing norm numpy-arrays ftest significance-testing null-hypothesis contingency-analysis annova alternate-hypothesis chi2-contingency
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- Jupyter Notebook
Regression Analysis with the BikeShare data.
r linear-regression regression scatter-plot pvalue bikeshare pvalues prediction-model regression-modelling inference-models rent-bikes
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A complete Python project demonstrating parametric and non-parametric hypothesis testing using a real-world Car Dataset, with clear explanations, visualizations, and practical insights
data-visualization pvalue hypothesis-testing parametric-tests nonparametric-tests annova ttest-1samp ttest-rel
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- Jupyter Notebook
Analysing the results of an A/B test run for an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.
python marketing ecommerce udacity statistics numpy regression pandas datascience matplotlib ab-testing pvalue dummy-data udacity-nanodegree binomial-distribution datanalysis logisticregression dand statmodels ztest
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- HTML
Analyzing impact of the coating on golf ball
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- Jupyter Notebook
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 linear-regression smf regression eda data-visualization seaborn matplotlib pvalue feature-engineering regression-models model-predictive-control stats-module
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- Jupyter Notebook
Now, this repository contains the links of the videos that I have recorded for the training of this software. Also, the files have been placed in order to familiarize Statistics enthusiasts with some of the statistical concepts used in this software.
r statistics programming spss pvalue rprogramming statistics-course pvalue-adjustment blueskystatistics
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