npradaschnor

algorithms_module

Practising basic Python code based on a list of problems from Algorithms Module

Big_Project_dataRepresentation

Flask server that implements a REST API that performs CRUD operations and authorization(logging in).

db_application

Python application based on 2 databases: MySQL and MongoDB.

ecommerce_project

A business e-commerce website that employs the principles of HTML5, CSS and JavaScrip

Fundamental-for-Data-Analysis-Project2018

A project focusing on box plot: summary of the history of the box plot and situations in which it used, and relevant terminology related to box plot. Then, the use of the box plot was demonstrated using data from INFOMAR.

Fundamentals-of-Data-Analytics

Fundamentals of Data Analytics module. Assignment concerning Anscombe's quartet data set in Jupyter.

ifood_Case

This case is used for hiring Data Analysts for the iFood Brain team.

machine-learning-project

Boston House Dataset: descriptive and inferential statistics, and prediction of the variable price using keras to create a neural network.

Pima-Indians-Diabetes-Dataset

Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.

Programming-and-Scripting-Project-2018

Project Module 'Programming and Scripting' - Dataset used: Iris Dataset and Programming Language: Python

npradaschnor/Pima-Indians-Diabetes-Dataset

Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.

npradaschnor/ecommerce_project

A business e-commerce website that employs the principles of HTML5, CSS and JavaScrip

npradaschnor/ifood_Case

This case is used for hiring Data Analysts for the iFood Brain team.

npradaschnor/machine-learning-project

Boston House Dataset: descriptive and inferential statistics, and prediction of the variable price using keras to create a neural network.

npradaschnor/Programming-and-Scripting-Project-2018

Project Module 'Programming and Scripting' - Dataset used: Iris Dataset and Programming Language: Python

npradaschnor/algorithms_module

Practising basic Python code based on a list of problems from Algorithms Module

npradaschnor/Big_Project_dataRepresentation

Flask server that implements a REST API that performs CRUD operations and authorization(logging in).

npradaschnor/db_application

Python application based on 2 databases: MySQL and MongoDB.

npradaschnor/Fundamental-for-Data-Analysis-Project2018

A project focusing on box plot: summary of the history of the box plot and situations in which it used, and relevant terminology related to box plot. Then, the use of the box plot was demonstrated using data from INFOMAR.

npradaschnor/Fundamentals-of-Data-Analytics

Fundamentals of Data Analytics module. Assignment concerning Anscombe's quartet data set in Jupyter.

npradaschnor/KPMG-Virtual-Internship

KPMG Data Analytics Consulting Virtual Internship Tasks

npradaschnor/npradaschnor

My public profile.

npradaschnor/Programming-for-Data-Analysis-Project2018

Project 2018 - Real World Simulation: overweight/obesity based on results from the last National Adult Survey using numpy.random function.

npradaschnor/sorting_algorithms_benchmark

Computational Thinking Algorithms (CTA) Project. Micro benchmark of 5 sorting algorithms: Insertion sort, Merge Sort, Counting Sort, Quicksort and Timsort.

npradaschnor/52167-Programming-and-Scripting-Exercises

Problem sets and the project for Programming and Scripting Module.

npradaschnor/collatz-example

npradaschnor/dataRepresentation

Assignment repository for GMIT Data Representation and Querying Module

npradaschnor/Fish-Toxicity-Prediction

This reposity contains the analysis of the ‘QSAR Fish Toxicity’ dataset using linear regression to predict acute aquatic toxicity in the fish species Pimephales promelas.

npradaschnor/Obesity-Prediction-Models

Decision Tree and KNN models were used to estimate obesity levels using the ‘Estimation of Obesity Levels Based On Eating Habits and Physical Condition’ dataset.

npradaschnor/Programming-for-Data-Analytics

Programming for DA module assigment - numpy random function using Jupyter