60-Days-of-Data-Science-and-ML VS data-science-notes

Compare 60-Days-of-Data-Science-and-ML vs data-science-notes 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
Source Code
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data-science-notes

Notes of IBM Data Science Professional Certificate Courses on Coursera (by lijqhs)
Data Science Python Algorithm Classification Dash Data Visualization Database Machine Learning Matplotlib Plotly Regression scikit-learn Seaborn SQL Statistics Data Analysis model-metrics jupyter-notebook
Source Code
lijqhs.github.io
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60-Days-of-Data-Science-and-ML data-science-notes
5 1
22 35
- -
10.0 0.0
over 1 year ago over 1 year 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.
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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

data-science-notes

Posts with mentions or reviews of data-science-notes. 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 data-science-notes you can also consider the following projects:

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

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.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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

Data-science - Collection of useful data science topics along with articles, videos, and code

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

strava-analysis - 🏃📊 Using strava to do personal analyses and to practice data scientist skills.

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

linear_elasticity_3D_fenics - Finite element modeling for linear elasticity problem in 3D by using FEniCS software

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

datacamp - 🍧 DataCamp data-science and machine learning courses

60-Days-of-Data-Science-and-ML vs MAPIE data-science-notes vs MAPIE 60-Days-of-Data-Science-and-ML vs eip1559_analysis data-science-notes vs hyperlearn 60-Days-of-Data-Science-and-ML vs collatz-conjecture data-science-notes vs Data-science 60-Days-of-Data-Science-and-ML vs hamilton data-science-notes vs strava-analysis 60-Days-of-Data-Science-and-ML vs orange data-science-notes vs linear_elasticity_3D_fenics 60-Days-of-Data-Science-and-ML vs linear-regression-from-scratch data-science-notes vs datacamp