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Learn Machine Learning from the scratch

Jupyter Notebook 99.81% Python 0.19%
machine-learning data-manipulation data-visualization jupyter-notebook python learning-by-doing learn-to-code scikitlearn-machine-learning numpy-tutorial pandas-tutorial

machine_learning_from_scratch's Introduction

Machine learning repository

This repository contains -> Data manipulation -> Data visualization

Data Manipulation ;- This folder contains , which libraries are used to manipulate the data. Ex= pandas , numpy etc -> numpy :- this file contains the introduction about the numpy library , and how to use it.

Data Visualization ;- This folder contains, which libraries are used to visulalize the data (or show data in graphs form). Ex = matplotlib, seaborn -> matplotlib.pyplot ;- A brief introduction about the matplotlib module and how we can use to dispaly cool graphs and make understanding of data easier -> seaborn ;- A brief introdutuction about the seaborn module and how to use seaborn to analyse our data in graphical forms

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gurus07 avatar rahul-singh98 avatar

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machine_learning_from_scratch's Issues

requirements

Add requirements.txt in root folder.
Content of requirements.tx
imbalanced-learn==0.8.0
matplotlib==3.4.2
pandas==1.3.1
scikit-learn==0.24.2
tensorboard==2.5.0
numpy==1.19.5

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