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machine-learning-models

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.

Here are 5 public repositories matching this topic...

samtwl / Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

machine-learning machine-learning-algorithms jupyter-notebook python3 topic-modeling logistic-regression decision-tree regularized-linear-regression multivariate-linear-regression machine-learning-models multi-class-classification gaussian-naive-bayes-implementation random-forest-regression gradient-boosting-regressor extreme-gradient-boosting

Updated Jun 10, 2019
Jupyter Notebook

Ruban2205 / Machine_learning_fundamentals

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

python data-science machine-learning machine-learning-algorithms ensemble-learning data-preprocessing self-organizing-map fuzzy-cmeans-clustering apriori-algorithm machine-learning-models multilayer-perceptron agglomerative-clustering random-forest-classifier single-layer-perceptron adaboost-classifier

Updated Sep 18, 2023
Jupyter Notebook

pottekkat / dog-eyes

This notebook builds a multiclass image classifier for classifying dog breeds using TensorFlow 2.0 and TensorFlow Hub.

machine-learning tensorflow jupyter-notebook kaggle-competition tensorflow-tutorials tensorflow-examples machine-learning-models dog-breed-classifier

Updated Mar 7, 2020
Jupyter Notebook

NicholasDominic / Machine-Learning-Resources

Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio

data-science machine-learning statistics deep-neural-networks deep-learning machine-learning-algorithms regression artificial-intelligence data-analytics r-language artificial-intelligence-algorithms machine-learning-models machine-learning-tutorials statistics-modeling machine-learning-projects data-analysis-python data-analysis-in-r python3-7-1

Updated Aug 3, 2020
Jupyter Notebook

Mo-Sam-Mo / ML-Models

A comprehensive collection of machine learning model implementations, including supervised, unsupervised, and deep learning models, each accompanied by explanations, datasets, and Jupyter Notebook demonstrations.

python deep-learning kaggle supervised-learning jupyter-notebooks unsupervised-learning machine-learning-models colab-notebook

Updated Jan 21, 2025
Jupyter Notebook

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