It's type of CLI (Command Line Interface), use as powerful tool to help developers to find, create, and manipulate file and folder. Ba...
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Home / Archive for April 2021
Building Modern Applications In AWS
Goal : explore how to build API driven applications using Amazon API Gateway for serverless API hosting, AWS (Amazon Web Service) Lambda f...
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Important definitions in AWS
Important definitions What is AWS region? AWS Regions are the broadest geographic category that defines the physical locations of AWS data ...
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Measures for In-Sample Evaluation
By using the numerical value it could measure how the model is fitted to the data. There are two type of it: 1- Mean Squared Error (MSE): ...
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Model development
- Simple Linear Regresssion: * Predictor (Independent)/ variable-X * Target(dependent)/variable-Y The Equation: Y = \[y = b_{0} + b_{1}X\...
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Exploratory Data Analysis (EDA)
the main aspects that must have a consideration are: - summary of the main characteristics of the data. - uncover the relationship between...
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Convert categorical variable to quantitative variable
-One-hot encoding: Add dummy variable (A, B, C,..) for each unique category or assign 0,1 for each category, for example, let's have ...
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Binning in Python
The main meaning of binning is to group values into "Bins", or convert numerical values into categorical. For ex...
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Methods of normalizing data
The main three methods of normalizing data are: Simple Feature Scaling[0,1] \[X_{new} = \frac{X_{old}}{X_{ma...
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Data Normalization in Python
Normalization refers to transforming the data to the range of [0, 1] (or any range), or sometimes just transforming the data on the unit s...
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Data Formating in Python
All value in specific column must be in the same format, another thing we may want to convert entire column to specific format, and we can...
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Data preprocessing
This operation had another name (Data Cleaning or Data Wragling). which is a process of convert initial raw or mapping data to another forma...
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Data Visualization (Area Plots, Histograms, and Bar Plots)
Exploring Datasets with pandas and Matplotlib We used pandas and Numpy for data wrangling, analysis, and visualization. The primary pl...
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