Top 10 AI and Data Science Cheat Sheets Aspirants Should Refer

by Aratrika Dutta

April 16, 2022

The best way to master AI tools and techniques is to use AI and data science cheat sheets

There are various tools and techniques in AI and data science that you should keep in mind. But it is quite difficult for everyone to remember all the functions, formulas and operations of each of the concepts. But the best way to master them is with AI and data science cheat sheets. AI and Data Science Cheat Sheets are amazing resources to learn and practice shortcut information on a certain topic. If you are looking for such information, here are the best AI and data science cheat sheets for you.


Keras is a powerful and easy-to-use library for Theano and TensorFlow that provides a high-level neural networks API for developing and evaluating deep learning models. In no time, this Keras cheat sheet will familiarize you with how you can load datasets from the library itself, preprocess the data, build model architecture, and compile, train, and analyze it. ‘assess.


Since it is one of the fundamental packages for scientific computing, NumPy is one of the packages that you should know how to use and know if you want to do AI with Python. It offers a great alternative to Python lists because NumPy arrays are more compact, allow faster access to read and write items, and are overall more convenient and efficient.


The Pandas Library is one of the most popular tools for manipulating and analyzing data, and you’ll have explored Pandas data structures that are fast, flexible, and expressive, perhaps with the help of the Pandas cheat sheet. DataCamp Basics.

Use case-based cheat sheet

Use case-based cheat sheet by Yogita Kinha, currently Associate Management Consultant at Mastercard. This one can be considered good because it does a good job aligning the algorithm with the use case. For example, regression can be used to predict product demand or sales figures, anomaly detection for fraud, and clustering for customer segmentation.


This machine learning cheat sheet will help you find the right estimator for the job which is the hardest part. Scikit-learn (formerly scikits.learn) is a free machine learning software library for the Python programming language. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN.


If you ever watch the AI-specific tutorials, you will find that the code implementation is done using Jupyter Notebooks. Jupyter notebooks are great for creating various computer applications and sharing your code with others. It can contain code, text and visualization in one place.

natural language processing

NLP is the most popular branch of AI on the market. This is to allow the computer to understand and understand natural language. NLP is a technology that enables many of today’s advanced technologies like machine translators and virtual assistants.


Data visualization is a key concept and it is not only used to find results early on in the project to explore the data and the know-how to analyze it, but also to find patterns or trends within it . This is one of the best AI and data science cheat sheets to use for 2022.


Speaking of visualization, you can design and build your visualization in Python using Matplotlib. And then from Matplotlib to data visualization, pandas are applied for data analysis. It is a powerful and sufficient library that allows you to easily create different types of visualizations.


Data science is a field that enables the collection and analysis of data to predict future data and events. It helps companies find trends, patterns and more. It also helps people better understand behavior and language. This is one of the best data science cheat sheets that briefly covers the basics of statistics. It covers all the information one needs to make decisions and forecasts about projects.

Share this article

Do the sharing

Comments are closed.