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May 16, 2017 - MATLAB
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machine-learning-basics
Here are 15 public repositories matching this topic...
running knn on mnist dataset for numeric digit detection
python machine-learning-algorithms jupyter-notebook mnist-dataset machine-learning-basics knn-model mnist-handwriting-recognition knn-algorithm machine-learning-beginners
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Jun 27, 2019 - Jupyter Notebook
My blogs and code for machine learning. http://cnblogs.com/pinard
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Jul 12, 2019 - Jupyter Notebook
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Nov 9, 2019 - Jupyter Notebook
machine-learning sklearn data-preprocessing machine-learning-basics machinelearning-python data-pre-processing
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Nov 15, 2019 - Python
Using models to understand relationships and make predictions.
visualization r workshop models model-checking linear-models loss-functions generalized-linear-models model-comparison machine-learning-basics
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Feb 29, 2020
This repository contains all the basics library for machine learning.
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Jul 10, 2020 - Jupyter Notebook
Machine Learning A-Z Course in Python Language
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Jul 19, 2020 - Jupyter Notebook
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Dec 12, 2020 - Jupyter Notebook
Python code for Makoto Ito's "Textbooks of Machine Learning Learning with Python (Korean Edition)". '파이썬으로 배우는 머신러닝의 교과서' 책에 실린 파이썬 코드입니다.
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Feb 7, 2023 - Jupyter Notebook
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
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Jan 25, 2024 - Jupyter Notebook
Machine Learning Basic to Advanced Concepts
machine-learning linear-regression machine-learning-algorithms polynomial-regression machine-learning-models machine-learning-basics multiple-linear-regression
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Feb 9, 2024 - Jupyter Notebook
A Python implementation of Gradient Descent for solving Multiple Linear Regression. This project demonstrates how the algorithm is used to minimize the Mean Squared Error (MSE) cost function and optimize the regression coefficients.
python optimization numpy linear-regression pandas matplotlib gradient-descent learning-rate machine-learning-basics regression-analysis cost-function multiple-linear-regression mean-squared-error
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Dec 9, 2024 - Jupyter Notebook
📔 DHBW Lecture Notes "Applied ML Fundamentals" 🤖
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Dec 29, 2024
This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.
python natural-language-processing markov-chain graph-theory text-generator probabilistic-models word-prediction machine-learning-basics
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Jan 11, 2025 - Python
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