Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
This project implements various machine learning algorithms from scratch using Python and NumPy, without relying on external libraries such as TensorFlow, Keras, or scikit-learn. The implemented algorithms include classification, regression, clustering, and basic neural network models.
I'm trying to rebuild the machine learning model from scratch
Car Price Prediction Machine Learning
This repository has the implementation of various Machine Learning algorithms by only using native Python with numpy
Machine Learning with Python Libraries
An implementation to a kernel based co-agreement algorithm
Machine Learning Algorithm Comparison
It's a code for chatbot. I completed only training. I get some results its not accurate, I added results.py also . getting Errors. it's results like this response("what is you bank timings") it give exact answer 9 to 6. so you run first train.py then response.py. Now I added full code to get results
Image processing and Computer Vision
Popular machine learning algorithms with example datasets
This repository contains codes for running k-means clustering and Gaussian Mixture Model based Expectation Maximization classification algorithms on large dataset in python
Classification Algorithms in Python. Learning about Data Science from Big Data University using DSX
A few machine learning algorithms implementation
basic-learn is a Python module which includes basic implementation of machine learning algorithms.
Implementation of Andrew Ng's Machine Learning Tutorial