Nicola Giordano – Medium

Nicola Giordano

Published in
Towards Data Science

Python applied to project evaluations: from data upload to analysis

Python snippets to exemplify key analytical steps and replicable code when analysing evaluation evidence from baseline to endline

Mar 28, 2021

Python applied to project evaluations: from data upload to analysis

Mar 28, 2021

Published in
Towards Data Science

Stylistic differences between R and Python in modelling data through regression analysis

How to use R and Python to model data over various regression analysis to produce predictions based on different types of target variables

Apr 6, 2020

Stylistic differences between R and Python in modelling data through regression analysis

Apr 6, 2020

Published in
Towards Data Science

Stylistic differences between R and Python in modelling data through neural networks

How to use R and Python to model neural network pathways to generate predictions for a set of predictors and target variables

Mar 29, 2020

Stylistic differences between R and Python in modelling data through neural networks

Mar 29, 2020

Published in
Towards Data Science

Stylistic differences between R and Python in modelling data through the Naïve Bayes classifier

The Bayes theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

Mar 22, 2020

Stylistic differences between R and Python in modelling data through the Naïve Bayes classifier

Mar 22, 2020

Published in
Level Up Coding

Stylistic differences between R and Python in modelling data through decision trees

After setting up a dataframe and the identification of key relationships, the next critical step is data modelling for classification

Mar 20, 2020

Stylistic differences between R and Python in modelling data through decision trees

Mar 20, 2020

Published in
Level Up Coding

Stylistic differences between R and Python in setting up the dataframe pre-modelling

Setting up the dataframe correctly before modelling data is critical to ensure accurate estimations and predictions

Mar 16, 2020

Stylistic differences between R and Python in setting up the dataframe pre-modelling

Mar 16, 2020

Published in
Analytics Vidhya

Stylistic differences between R and Python for exploratory data analysis

Exploring relationships between variables helps in setting up a dataframe in a way to implement exciting modelling solutions

Mar 11, 2020

Stylistic differences between R and Python for exploratory data analysis

Mar 11, 2020

Published in
The Startup

Stylistic differences between R and Python for data preparation

Preparing a dataframe is the first step towards the implementation of a data science solution

Mar 9, 2020

Stylistic differences between R and Python for data preparation

Mar 9, 2020

Published in
Analytics Vidhya

Visual outputs in R- one example with categorical variables

Exploring visual outputs in R to represent multiple layers of information

Feb 29, 2020

Visual outputs in R- one example with categorical variables

Feb 29, 2020

Nicola Giordano

Nicola Giordano

Cultivating an interest in applying computational analysis to international humanitarian work and social sciences.

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