- Sklearn Model Cheat Sheet
- Sklearn Algorithm Cheat Sheet
- Sklearn Cheat Sheet Datacamp
- Python Machine Learning Cheat Sheet
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Have a little time to learn Tensorflow 2.0 with your Machine Learning? In this article, I have put together the 10 best Tensorflow cheat sheets for you to hang on the wall above your desk. Whenever you need a reference, keep these handy cheat sheets available!!
Cheat Sheet 1: BecomingHuman.AI
- From sklearn import metrics # say you have a trained model, clf metrics. Accuracyscore (ytest, clf. Predict (Xtest)) # 0. Scaling data Look at this post for more information: Feature Scaling: Quick Introduction and Examples using Scikit-learn.
- Scikit learn can be used in Classi ¬fi c¬a tion, Regres ¬sion, Cluste ¬ring, Dimens ¬io n¬ality reduct ¬io n¬, Model Selection and prepro ‐ ¬ce ssing by supervised and unsupe ¬rvised training models. Basic Commands from sklearn import neighbors, datasets, prepro cessing.
becominghuman.ai has multiple cheat sheets but this one I have found to be one of the best. Easy to read and understand, this cheat sheet is great for beginners and advanced Tensorflow learners alike!
Pros: Rated ‘E’ for everyone.
Cons: Color can be distracting
Cheat Sheet 2: Altoros
Altoros is another great website to find cheat sheets for machine learning on!! They cover a wide range of subjects. This Tensorflow cheat sheet is 3 pages long but it is totality worth the wealth of information you can receive.
Pros: Easy to read and understand.
Cons: Condensed information can be difficult for some readers.
Cheat Sheet 3: Tech Republic
This cheat sheet from Tech Republic is chock full of information for you! Including an introduction, how to begin, top competitors and additional resources. This is great if you are looking to become an IT Pro
Pros: Great for those who are looking to upgrade their skills.
Cons: It is a lot of reading material (8 pages, condensed)
Cheat Sheet 4: Dummies
Sklearn Model Cheat Sheet
Sometimes, the best way to learn is from a dummy!! Tensorflow for dummies is a great way to get an introduction to Tensorflow, what it is and how it works. Perfect for beginners in machine learning!
Pros: Great information for beginners
Cons: Condensed information, no working examples
Cheat Sheet 5: TensorFlow
To learn Tensorflow, one must go to Tensorflow.org! This website and cheat sheet will teach you everything you need to learn Tensorflow correctly and effectively. There is a lot of materials here so be prepared for a lengthy read! Great for beginners and Advanced Tensorflowers!
Pros: Rated ‘E’ for everyone, the best way to Tensorflow.
Cons: Can be confusing to the absolute beginner.
Cheat Sheet 6: Github
This is a really great cheat sheet written by Patrick on Github! He shows examples and syntax. This is a great sheet for all Tensorflow learners!!
Pros: Rated ‘E’ for everyone.
Cons: None that I can see.
Cheat sheet 7: Stanford.edu
This cheat sheet shows you the ins and outs of Tensorflow what it is, how it works and how it compares to other data science tools compare. Easily readable for beginners and advanced Tensorflow users alike.
Pros: Easy to understand
Cons: None that I can see
Cheat Sheet 8: Tensorflow Core
This cheat sheet is from Tensorflow Core. It shows api documentation for Tensorflow in Python!! Alongside other languages, it shows the correct explanation and syntax for the method you are trying to perform.
Pros: Easy to read, rated ‘E’ for everyone.
Cons: none that I can see.
Cheat Sheet 9: HackerNoon
To understand Tensorflow, you must understand Deep Learning. This cheat sheet is one to keep handy as a dog-eared reference in the desk drawer or right next to your working laptop.
Camron will take you from beginning to end understanding Tensorflow and deep learning easier with explanations plus the best resources. This is a great resource for those who are serious about looking into Data Science as a career with Python and Tensorflow.
Pros: Tons of resources, rated ‘E’ for everyone.
Cons: A lot of research materials and reading.
Cheat Sheet 10: Cheatography
This cheat sheet will show you the types of models from machine learning you can build with Tensorflow!! It has graphics, explanations and examples on what you need to know for Tensorflow, Machine and Deep Learning!
Pros: Rated ‘E’ for everyone
Cons: None that I can see.
Thank you for joining me on another journey to find the top 10 best cheat sheets on Tensorflow! I hope that they are useful to you on your journey in Deep Learning and Tensorflow!
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Do you need a little help learning Scikit-Learn in Python? Or maybe you just finding it hard to remember all the different commands to perform different operations? All of those formulas can be confusing and hard to remember. Have no fear!! I have put together 10 of the Best Python Scikit-Learn cheat sheets for you to print and hand next to all your other cheat sheets on the wall above you desk. Take a little time each day to review your cheat sheets and you will have it down in no time!
Cheat Sheet 1: DataCamp
This Scikit-Learn cheat sheet from DataCamp will kick start your data science project by introducing you to the basic concepts of machine learning algorithms successfully. This cheat sheet is for those who have already started to learn Python packages and for those who would like to take a quick look to get a first idea of the basics for total beginners!
Pros: This cheat sheet is rated ‘E’ for everyone!! Information is sectioned in blocks for easier reading
Cons: The bright red can be distracting to some
Cheat Sheet 2: Edureka.co
This Scikit-Learn cheat sheet is done in cool blues than its red cousin above. The information is broken down into blocks to making it easier to digest. This cheat sheet will show you the basics through examples so you can learn to preprocess your data for your projects.
Pros: Rated ‘E’ for everyone!! Information is easily digestible.
Cons: none that I can see.
Cheat Sheet 3: Intellipaat
In collaboration with IBM, Intellipaat has gone one step further with this cheat sheet by providing not only headers in the blocks so you know what you are doing but also in what part of the process you are at! Pre- and Post-processing your data model, with all the steps for you in one handy reference.
Pros: Rated ‘E’ for everyone. It has blocks with steps inside so you don’t forget what commands are used in Pre/PostProcessing, Working the model and evaluating the performance.
Cons: none that I can see.
Cheat Sheet 4: Cheatography
This cheat sheet is great for those who are only needing a quick reference for the definitions of scikit-learn expressions. The sheet is pretty spartan compared to the others in examples but also goes into more depth than the others on definitions. I would not suggest this particular cheat sheet to a total beginner in data science or in Scikit-Learn. I would rate this sheet at ‘I’ for the Intermediate learner.
Pros: Great on definitions on multiple expression types in Scikit-Learn.
Cons: Too spartan for beginners, green background can be distracting.
Cheat Sheet 5: Codecademy
This sheet is also intended for the Intermediate learner of Scikit-Learn. Showing examples for Linear Regressions, Naïve Bayes, k-nearest neighbors, K means, validating the model and Training and test sets, you would best already knowing what the definition of the above expressions are and what they can do. This handy reference is nice to have near if you just need to remember how to write your expression.
Pros: Handy for the Intermediate learner, comes with code examples
Cons: Not for beginners.
Cheat Sheet 6: becominghuman.ai
Sklearn Algorithm Cheat Sheet
Here on becominghuman.ai, cheat sheets show not only definitions, but also flow charts to help you check documentation and which estimator is the right one for the job, which can be difficult to do. This cheat sheet is for the Intermediate learner
Pros: Great for Intermediate learners, in-depth definitions on expressions
Cons: Spartan
Cheat Sheet 7: Scikit-learn.org
This cheat sheet shows you the mapping processes of machine learning thru mapping out what each classification, clustering, regression and dimensionality reduction It is a great map to help show you how the expressions are interconnected.
Sklearn Cheat Sheet Datacamp
Pros: Great visual
Cons: Not suggested for beginners
Cheat Sheet 8: Enthought.com
These pdfs are a combination of 3 actually, but each one goes into depth of Classification, Clustering and Regression. This set of 3 are perfect for a complete beginner as it gives you not only definition and code, but also tips, when to use it and how it works!! Enthought made sure to cover everything for you, so don’t worry if you forget or need a refresher on how it all works!
Pros: Rated ‘E’ for everyone!! Goes in depth for the total beginner
Cons: Can be a lengthy read
Cheat Sheet 9: Elite Data Science
This cheat sheet is put together beautifully showing you a step by step process on how to use scikit-learn to build and tune a supervised data model on your own!! One con is that it does not show any examples on how the expressions are used.
Pros: Nicely put together for easy readability.
Cons: For the Intermediate learner.
Cheat Sheet 10: Lauren Glass
This last sheet is generously provided by an Instagram Data Engineer!! Lauren Glass has put together a comprehensive cheat sheet for scikit learn and has made it easy for beginners to understand!! She goes in depth on all the sections and provides definitions for each.
Pros: Easy to read and understand
Cons: None I can see
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Thanks for joining me once again!! I hope you find these cheat sheets on Scikit-Learn useful and tape them to your wall above your desk to keep them handy!! I will keep you updated on the best cheat sheets for Python and related subjects!!
Python Machine Learning Cheat Sheet
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