MLConceptsStudy VS machine_learning_basics

Compare MLConceptsStudy vs machine_learning_basics and see what are their differences.

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MLConceptsStudy machine_learning_basics
1 5
2 4,199
- -
0.0 0.0
about 3 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MLConceptsStudy

Posts with mentions or reviews of MLConceptsStudy. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_basics

Posts with mentions or reviews of machine_learning_basics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-29.

What are some alternatives?

When comparing MLConceptsStudy and machine_learning_basics you can also consider the following projects:

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

100-Days-Of-ML-Code - 100 Days of ML Coding

mango - Parallel Hyperparameter Tuning in Python

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

trulens - Evaluation and Tracking for LLM Experiments

rmi - A learned index structure

PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.

MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples

iterative-grabcut - This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource