I'm looking for some recommendations on resources that can help me get a general understanding of machine learning relatively quickly. To clarify, I want to be able to talk about machine learning concepts even before I dive deep into the subject. I'm a beginner in Python, so any advice geared towards newbies would be really helpful. Thanks in advance!
3 Answers
Don’t forget about Kaggle! They have tons of resources for learning on their platform. You can start here: [Kaggle Learn](https://www.kaggle.com/learn). It's a great way to practice while you learn.
You might want to check out the scikit-learn MOOC. It's completely free and does a great job of covering the basics. Here’s the link: [scikit-learn MOOC](https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/). It's a solid starting point!
YouTube crash courses can be really helpful! Channels like StatQuest and 3Blue1Brown are great for building intuition. After that, get your hands dirty with scikit-learn on Kaggle datasets. For example, I ran a logistic regression on the Titanic survivors, and it really helped me to sound knowledgeable in conversations about ML.
+1 for StatQuest. Double bam!
Thank you!!