https://github.com/christs8920/data-science-py

A collection of data science projects made in python.
https://github.com/christs8920/data-science-py

data-science data-visualization machine-learning matplotlib nltk numpy pandas python sklearn svm-classifier visualization

Last synced: about 1 month ago
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A collection of data science projects made in python.

• Host: GitHub
• URL: https://github.com/christs8920/data-science-py
• Owner: ChrisTs8920
• License: mit
• Created: 2023-04-30T19:18:56.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-03T10:00:00.000Z (5 months ago)
• Last Synced: 2024-08-03T11:22:01.009Z (5 months ago)
• Topics: data-science, data-visualization, machine-learning, matplotlib, nltk, numpy, pandas, python, sklearn, svm-classifier, visualization
• Language: Python
• Homepage:
• Size: 30.3 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Science with Python

## Description

This repository contains a collection of Data science projects, made in python.

Libraries used:

- Pandas

- NumPy

- sklearn

- NLTK

## Heart Disease Classification

This project uses Machine Learning (classification algorithm - S.V.M. or Support Vector Machine) to predict whether a patient has an increased chance of a heart attack or not. It then shows the accuracy of the algorithm, and plots the different parameters of the data set.

Data was provided by [kaggle.com](https://www.kaggle.com/datasets/rashikrahmanpritom/heart-attack-analysis-prediction-dataset/data).

>*This project was an assignment and was made during my Big Data course in University.*

## Corpus analysis

This project plots statistics for some of the built-in [nltk](https://www.nltk.org/) text books:

- Lexical richness and percentage of text taken up by various words.

- Stemming vs Lemmatization.

- str.split() vs nltk.tokenize().

- Frequency Distributions.

>*This project was an assignment and was made during my Information Retrieval course in University.*

## Salary Survey

This project plots some statistics for programmers in Greece for the year 2022:

- Education Level

- Most used programming languages

- Remote work (both, remote, on-site)

- Median wage

>Data was provided by [SocialNerds](https://www.youtube.com/@SocialNerdsGR).

## How to run

1. Data file needs to be in the same directory as script file.

2. Execute ```.py```.