Prompts for Engineers (245 prompts)
Since there are so many in each category, (we have 1000 to get through) ill post a page a day. Just copy paste it into your gpt and then update it along the way to make it your own. These are the prompts for ---------------------------- Machine Learning and AI Development 1. Develop a machine learning model using scikit-learn to classify customer feedback into positive or negative categories. 2. Write a Python script to preprocess text data for training a natural language processing (NLP) model. 3. Create a deep learning model in TensorFlow for object detection in images using a pre-trained model like YOLO. 4. Design a project to implement a recommendation system using collaborative filtering with the Surprise library. 5. Develop a Python script that automates hyperparameter tuning for a support vector machine model using GridSearchCV. 6. Write a script to handle imbalanced data in a classification problem using SMOTE to generate synthetic data points. 7. Explain how to implement k-means clustering on a customer dataset and visualize the clusters using matplotlib. 8. Develop a deep learning model for sentiment analysis on social media data using LSTM and Keras. 9. Create a model to predict sales trends using time series analysis with ARIMA in Python. 10. Write a Python script to evaluate the performance of a machine learning model using precision, recall, and F1-score. 11. Assist in setting up a machine learning pipeline for automating data preprocessing, model training, and evaluation. 12. Build a neural network for image classification using PyTorch, explaining the code step-by-step. 13. Create a project to implement a chatbot using Rasa NLU for natural language understanding and dialogue management. 14. Develop a recommendation engine using content-based filtering to suggest movies based on user preferences. 15. Write a Python function to visualize the feature importance of a random forest model using SHAP values.