60-Days-of-Data-Science-and-ML VS collatz-conjecture

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

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60-Days-of-Data-Science-and-ML collatz-conjecture
5 1
22 3
- -
10.0 3.4
over 1 year ago 11 months ago
Jupyter Notebook Jupyter Notebook
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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

collatz-conjecture

Posts with mentions or reviews of collatz-conjecture. 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 collatz-conjecture you can also consider the following projects:

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

r-place-blender - Tools for r/Place data visualization with Blender and Python

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

Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

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.

EverythingCrypto - (Still exploring) My cryptography journey: A collection of notebooks covering different algorithms and concepts from cryptography

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

Basic-Mathematics-for-Machine-Learning - The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

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

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)

humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms