Dude, I feel you. When I started, my scripts crashed every 5 mins. Here’s what worked for me:
- Use conda for ML libs (way fewer conflicts than pip).
- Run scripts in chunks—like, load data first, check it, then train.
- If it works in Colab but not locally, you’re probably missing a dependency. `!pip list` in Colab vs `pip list` locally to compare.
Also, GPU? Only if you’re doing deep learning. Otherwise, it’s overkill.
- Use conda for ML libs (way fewer conflicts than pip).
- Run scripts in chunks—like, load data first, check it, then train.
- If it works in Colab but not locally, you’re probably missing a dependency. `!pip list` in Colab vs `pip list` locally to compare.
Also, GPU? Only if you’re doing deep learning. Otherwise, it’s overkill.
