https://github.com/zby-zy/machine-learning-with-python

My project for learning machine learning with python.
https://github.com/zby-zy/machine-learning-with-python

classification clustering machine-learning machine-learning-algorithms machinelearning-python matplotlib matplotlib-pyplot python recommender-system regression

Last synced: 9 months ago
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My project for learning machine learning with python.

Host: GitHub
URL: https://github.com/zby-zy/machine-learning-with-python
Owner: zby-zy
Created: 2022-02-25T19:49:27.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2022-03-11T18:55:56.000Z (over 3 years ago)
Last Synced: 2025-01-15T05:46:41.310Z (10 months ago)
Topics: classification, clustering, machine-learning, machine-learning-algorithms, machinelearning-python, matplotlib, matplotlib-pyplot, python, recommender-system, regression
Homepage:
Size: 109 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Machine Learning with Python

Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. In its application across business problems, machine learning is also referred to as predictive analytics.
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## Syllabus
1) Introduction to Machine Learning
2) Regression
3) Classification
4) Clustering
5) Recommender Systems

## Libraries