Imbalanced datasets can skew model performance. Share techniques like resampling or using different evaluation metrics that have worked for you.
Technomantic Latest Questions
How does Perplexity AI differ from ChatGPT when it comes to factual accuracy?
Building chatbots requires robust NLP tools. Share libraries that have facilitated your chatbot development.
Selecting the right features is key to model success. Discuss your process for identifying and selecting impactful features.
RunkiBegginer
Selecting the right dataset is crucial for object detection tasks. Share datasets that have been effective in your computer vision projects.
RunduBegginer
Many job seekers use AI tools like Rezi or Copysmith to craft resumes, yet some find the outputs too generic. Share your experiences and preferred tools that offer more personalized results
RunduBegginer
AI-assisted email generation is popular, but maintaining a natural tone can be challenging. Discuss tools that help create more human-like emails
BryanJohansanBegginer
I’ve tried lowering the learning rate but no luck. Wondering if batch size or tokenization might be causing this.
JiyakhanBegginer
Hey everyone, I’m planning to build my first voice assistant and could really use some advice on where to start. There are so many options out there Dialogflow, Rasa, Voiceflow, Alexa Skills Kit and I’m a bit overwhelmed trying to choose ...
CharlesgBegginer
I’ve been running into unexpected gradients or zero gradients in some layers, and it’s been tricky to trace where things go wrong. Any tips, tools, or workflows that help identify and fix these problems would be really appreciated!
joseph1Begginer
I used StandardScaler on the entire dataset before splitting, and later realized that might be wrong. How should I handle scaling correctly to avoid leakage?
DavidBegginer
I’m seeing 98–99% accuracy on my validation set, but when I test on truly unseen data, the performance drops significantly. Suspecting some leakage but not sure where it’s happening