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Welcome to the Machine Learning for Beginners repository! This repository is designed to provide a starting point for individuals who are new to machine learning and want to develop their skills and knowledge.
Machine Learning is a subfield of artificial intelligence that enables computers to learn and make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms analyze data, learn from that data, and make a prediction about something in the world. It is being used to solve real-world problems across various industries such as finance, healthcare, and marketing.
In order to follow along with the tutorials and examples in this repository, you should have a basic understanding of programming concepts and experience with Python. It is also recommended to have a local installation of jupyter and the required libraries such as numpy, pandas, matplotlib, scikit-learn, and tensorflow.
This repository contains resources, tutorials, and examples to help you get started with machine learning. You will find the following items in this repository:
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Jupyter Notebooks: A collection of notebooks that provide step-by-step tutorials and hands-on examples of how to solve various machine learning problems using popular libraries such as scikit-learn and tensorflow.
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Datasets: A set of commonly used datasets for machine learning that you can use to practice and test your algorithms.
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Slides: A set of slides that provide an overview of machine learning concepts and algorithms.
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Clone or download this repository to your local machine.
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Open the Jupyter Notebooks in the repository and follow along with the tutorials and examples.
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Practice your skills by working on the provided datasets or finding other datasets to work on.
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If you get stuck or have questions, feel free to reach out to the community or refer to the resources section for more information.
Kaggle - A platform for finding and participating in machine learning competitions and practicing on real-world datasets
- Clone the repo
git clone https://github.com/yeseniaio/ml-stories
- Run jupyter notebook
jupyter notebook
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