60-Days-of-Data-Science-and-ML VS humble-benchmarks

Compare 60-Days-of-Data-Science-and-ML vs humble-benchmarks and see what are their differences.

60-Days-of-Data-Science-and-ML

60 Days of Data Science and ML (by levintech)
data-engineering Data Science Machine Learning machine-learning-algorithms Mathematics Numpy Pandas Python Regression Statistics
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humble-benchmarks

Benchmarking programming languages using statistics and machine learning algorithms (by rillki)
Benchmarks Dlang Statistics machine-learning-algorithms programming-languages
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60-Days-of-Data-Science-and-ML humble-benchmarks
5 1
22 4
- -
10.0 0.0
over 1 year ago about 2 years 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.

60-Days-of-Data-Science-and-ML

Posts with mentions or reviews of 60-Days-of-Data-Science-and-ML. We have used some of these posts to build our list of alternatives and similar projects.
  • 60 Days of Data Science and Machine Learning
    1 project | dev.to | 15 Sep 2022
    Day 31 - Machine Learning Linear Regression
    1 project | dev.to | 6 Sep 2022
    Followings are fourth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.
    1 project | dev.to | 24 Aug 2022
    Day 15 - Repression Part2
    1 project | dev.to | 19 Aug 2022
    Day 1 - Python Basics Part1
    1 project | dev.to | 17 Aug 2022

humble-benchmarks

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

What are some alternatives?

When comparing 60-Days-of-Data-Science-and-ML and humble-benchmarks you can also consider the following projects:

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

mljar-examples - Examples how MLJAR can be used

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

SciTS - A tool to benchmark Time-series databases

eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.

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

collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

machine_learning_basics - Plain python implementations of basic machine learning algorithms

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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

60-Days-of-Data-Science-and-ML vs data-science-notes humble-benchmarks vs mljar-examples 60-Days-of-Data-Science-and-ML vs MAPIE humble-benchmarks vs SciTS 60-Days-of-Data-Science-and-ML vs eip1559_analysis humble-benchmarks vs PyImpetus 60-Days-of-Data-Science-and-ML vs collatz-conjecture humble-benchmarks vs homemade-machine-learning 60-Days-of-Data-Science-and-ML vs hamilton humble-benchmarks vs machine_learning_basics 60-Days-of-Data-Science-and-ML vs orange humble-benchmarks vs python-machine-learning-book