Here's a cheatsheet on Scikit-Learn (machine learning library that provides a range of supervised & unsupervised algorithms in #Python) and Caret package (used for solving any supervised machine learning problem in #R) we would like to share with you. #ScikitLearn #Caret https://lnkd.in/fgfR3FU

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv

HOW TO LEARN PYTHON FOR DATA SCIENCE?

Someone ask me to update how to learn data science and please give R alternative as well, so I make it relevant to today standard

✅ Step 1
Building Learning Path
https://lnkd.in/fduvKgb

✅ Step 2
Download and Install Anaconda
https://lnkd.in/gWHY_ij

✅ Step 3
a. Learn the basics of Python (Lists, Tuples, Dictionaries, etc)
b. Understand the basics of data structures and algorithms
https://lnkd.in/gYKnJWN

✅ Step 4
Do more practice problems in Python
Codeacademy: https://lnkd.in/gGQ7cuv

✅ Step 5
Learn the scientific libraries (NumPy, SciPy, Pandas)
Pandas: https://lnkd.in/g4DFNpJ

✅ Step 6
Machine Learning with Scikit-Learn
Machine Learning in 20min: https://lnkd.in/g-Su_um
Scikit-Learn Tutorial: https://lnkd.in/gSThdRD

✅ Step 7:
Practice your machine learning skills
Kaggle Machine Learning Tutorial: https://lnkd.in/gT5nNwS

✅ Step 8:
Practice advanced library
a.PyTorch
https://lnkd.in/fzS52P9

b.TensorFlow
https://lnkd.in/fXKQkGy

c.Dlib
https://lnkd.in/fzPM2Gs

Kaggle Machine Learning Tutorial: https://lnkd.in/gT5nNwS

#machinelearning #datascience #python #scikitlearn #numpy #algorithms

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv