This repository contains the notes, code, and projects I have worked on as I learn about Machine Learning. This is a personal learning journey, and I am not an expert. I am simply sharing my progress with the hope that it may help others who are also learning.
To clone this repository, use the following command in your terminal:
git clone https://github.com/ishworrsubedii/machine_learning_algorithms.gitCreate a Conda environment named machinelearningenv with Python 3.9 using:
conda create machinelearingenv python==3.9 -y
Activate the Conda environment:
conda activate machinelearningenv
- To use the code in this repository, you will need to have Python and the necessary libraries installed. You can install the necessary libraries by running the following command:
pip install -r requirements.txt
- The code in this repository is organized into folders based on the topics I have learned. Each folder contains a README file with notes and explanations of the code. - To run the code in a specific folder, navigate to the folder and run the code using the following command:
python3 filename.py
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Throughout my learning journey, I will be working on various projects related to Machine Learning. The projects I have completed so far can be found in the projects folder.
- I am not accepting contributions to this repository at this time. However, if you find any errors or have suggestions for improvement, please feel free to open an issue.