mlcourse.ai VS data-science-ipython-notebooks

Compare mlcourse.ai vs data-science-ipython-notebooks and see what are their differences.

mlcourse.ai

Open Machine Learning Course (by Yorko)
Machine Learning Data Analysis Data Science Pandas Algorithms Numpy Scipy Matplotlib Seaborn Plotly scikit-learn kaggle-inclass vowpal-wabbit Python ipynb Docker Math
Source Code
mlcourse.ai
Suggest alternative
Edit details

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
Python Machine Learning Deep Learning Data Science Big Data AWS Tensorflow Theano Caffe scikit-learn Kaggle Spark MapReduce Hadoop Matplotlib Pandas Numpy Scipy Keras
Source Code
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
mlcourse.ai data-science-ipython-notebooks
85 1
9,390 26,459
- -
3.4 0.0
4 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

mlcourse.ai

Posts with mentions or reviews of mlcourse.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing mlcourse.ai and data-science-ipython-notebooks you can also consider the following projects:

attractors - Package for simulation and visualization of strange attractors.

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

napari - napari: a fast, interactive, multi-dimensional image viewer for python

BirdNET - Soundscape analysis with BirdNET.

quaternion - Add built-in support for quaternions to numpy

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

GreyNSights - Privacy-Preserving Data Analysis using Pandas

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

sports-betting - Collection of sports betting AI tools.

hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

PMapper - A tool for quickly evaluating IAM permissions in AWS.

mlcourse.ai vs attractors data-science-ipython-notebooks vs manjaro-linux mlcourse.ai vs napari data-science-ipython-notebooks vs BirdNET mlcourse.ai vs quaternion data-science-ipython-notebooks vs fugue mlcourse.ai vs GreyNSights data-science-ipython-notebooks vs kmodes mlcourse.ai vs concrete-numpy data-science-ipython-notebooks vs sports-betting mlcourse.ai vs hiitpi data-science-ipython-notebooks vs PMapper