Data Science and AI Quest

This technical blog is my own collection of notes , articles , implementations and interpretation of referred topics in coding, programming, data analytics , data science , data warehousing , Cloud Applications and Artificial Intelligence . Feel free to explore my blog and articles for reference and downloads . Do subscribe , like , share and comment ---- Vivek Dash

Showing posts with label testing. Show all posts

Showing posts with label testing. Show all posts

Monday, July 12, 2021

Infographic Note on Correlation Analysis using corr() function over a Pandas dataframe in Python

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Labels: ai, algorithms, artificial intelligence, correlation, data analytics, data exploration, data science, dataframe, Inferential analysis, interpretation, machine learning, numpy, pandas, python, SciPy, summary, testing

Infographic Note on Correlation Analysis of numerical attributes of a Pandas Dataframe in Python

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Labels: ai, algorithms, artificial intelligence, correlation, data analytics, data exploration, data science, dataframe, heatmap, Inferential analysis, machine learning, numpy, pandas, python, SciPy, summary, testing

Infographic Note on Python Code Analysis of a Sample Outliers Detection function over a numerical attribute in a pandas dataframe

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, function, Inferential analysis, machine learning, numpy, outliers, pandas, python, SciPy, summary, testing

Infographic Note on steps to perform Count , filter , group and aggregate numerical values over a dataset using Numpy and Pandas in Python using Jupyter Notebook IDE

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Labels: aggregate, ai, algorithms, artificial intelligence, data analytics, data exploration, data science, filter, group, hypothesis, machine learning, numpy, pandas, python, SciPy, summary, t-test, testing, value_count

Infographic Note on steps to formulate and perform a Hypothesis Test using Numpy , Pandas and Scipy Libraries of Python

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, hypothesis, Inferential analysis, machine learning, numpy, pandas, python, SciPy, summary, t-test, testing

Sunday, June 6, 2021

Infographic Short Note on Methods of Underfitting over a Statistical Model in Statistics and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hypothesis, machine learning, neural networks, notes, programming, revision, testing

Friday, May 21, 2021

Important Points on Systematic Testing over any dataset or software - Short Concept Notes in Statistics and machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hyper parameter, machine learning, neural networks, notes, optimisation, revision, testing

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One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )
One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note
Twitter Sentiment Analysis Conceptual Infographic Notes | Getting Started with Sentiment Analysis based NLP Project with its main objectives , considerations , challenges , Approach and Steps

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