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

Monday, July 12, 2021

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 Outliers Detection , finding Inter-Quartile ranges and Interpreting Box-Plot diagrams over Pandas Dataframe in Python

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Labels: ai, algorithms, artificial intelligence, boxplot, data analytics, data exploration, data science, Inferential analysis, inter-quartile range, machine learning, numpy, outliers, pandas, python, SciPy, summary

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

Friday, July 9, 2021

Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers on related concepts - part 02

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Labels: ai, artificial intelligence, Concepts, data analytics, data science, GPU, hardware acceleration, machine learning, Matrices, notes, pytorch, Q&A, scalars, summary, tensorflow, vector, wrapper

Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers

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Labels: ai, algorithms, artificial intelligence, Concepts, data analytics, data exploration, data science, functions, machine learning, Matrices, notes, pytorch, Q&A, question and answer, scalars, summary, tensorflow, vector

An Infographic Note Steps to follow for Installation of Pytorch Software over Jupyter Notebook

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, functions, installation, machine learning, notes, package, pytorch, steps, summary, tensorflow

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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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