GitHub topics: ibm-machine-learning
zenklinov/IBM_Machine_Learning_Capstone
This repository contains materials for the Machine Learning Capstone course offered by IBM. Build a course recommender system, Analyze course-related datasets, and Generate recommendation systems using techniques such as KNN, PCA, and non-negative matrix collaborative filtering
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1
FahdSeddik/IBM-Machine-Learning-Professional-Certificate
This is all my notebooks, lab solutions, and assignments for the IBM Machine Learning Professional Certificate on Coursera.
Language: Jupyter Notebook - Size: 85.4 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 7
IBM/ibm-streams-with-ml-model 📦
Use a machine learning model in an IBM Streams application
Language: Jupyter Notebook - Size: 5.01 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 3
Phantom-fs/IBM-Machine-Learning-with-Python
'Machine Learning with Python' Coursera course by 'IBM'. Repository contains code, quiz answers and dataset for the course.
Size: 171 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
aditya9110/IBM-Machine-Learning-Coursera
The repository includes the project implementations of the IBM Machine Learning Course
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zaahidali/Machine-Learning-Course-by-IBM-on-Cognitive-Class-io
An intermediate level course of machine learning offered by IBM on Cognitive Class.io
Size: 6.07 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
iliyaML/ibm-machine-learning
Repository for IBM Machine Learning
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damminhtien/machine-learning-ibm
Everthing about IBM Machine Learning Professional Certificate @ Coursera
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superbeppe98/IBM-introduction-to-machine-learning-with-sound
IBM - Introduction to Machine Learning with Sound
Language: Python - Size: 75.8 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
macisluca/Coursera_Capstone
In this project we will try to find an optimal location for a restaurant. Specifically, this report will be targeted to stakeholders interested in opening a vegetarian restaurant in Turin. We will use our data science powers to generate a few most promising neighborhoods based on these criteria. Advantages of each area will then be clearly expressed so that best possible final location can be chosen by stakeholders.
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0