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data-science's Introduction

DATA SCIENCE EXAMPLES

A collection of jupyter notebooks with solved examples of datasets including

-DATA ANALYSIS AND VISUALIZATION

-predicting with machine learning models like Linear Regression and Logistic Regression

-also using other models to check accuracy

PROJECTS AND DATASETS

All datasets were gotten from kaggle

Description of all datasets and the datasets can be gotten from kaggle

The following includes projects name and links to their corresponding dataset

1.DATA ANALYSIS AND VISUALIZATION

In addition datasets can also be gotten from this folder

  • dataset_for_Data_analysis_visualization: contains datasets used in DATA ANALYSIS AND VISUALIZATION

2.MACHINE LEARNING

-Linear Regression

-Logistic Regression

In addition datasets can also be gotten from this folder

  • dataset_for_machine_learning: contains datasets used in Machine Learning

Install the requirements

  • Install the requirements using pip install -r requirements.txt.
  • Make sure you use Python 3.
  • You may want to use a virtual environment for this.

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