Education – صفحہ 12

Day 13 – Task Breakdown with Prompt

Hour 1: OpenCV Image Processing Demo 🔹 Prompt: “Demonstrate basic OpenCV image processing techniques in Python. Include grayscale conversion, edge

Day 12 Prompts

Hour 1: Collaborative filtering demo👉 “Explain step-by-step how collaborative filtering works in AI recommendation systems with a simple demo using

Day 11 Task Breakdown with 8 Prompts

Hour 1: Recommendation Engine Basics Prompt:“Research and explain how recommendation engines work (collaborative filtering, content-based filtering, hybrid models). Give examples

Day 10 Tasks

Hour 1 – Fine-tune text classification🔹 Prompt: “Use a dataset (e.g., product reviews, tweets, or emails) and fine-tune a text

Day 9 Prompts

Hour 1 – HuggingFace Transformers (BERT test)👉 “Run a test using HuggingFace Transformers with BERT. Load a sample dataset (e.g.,

Day 8 Prompts

Hour 1 – Sentiment Analysis Model👉 “Build a simple sentiment analysis model in Python using TextBlob or NLTK. Input: customer

Day 7

Hour 1: NLP Basics (NLTK, spaCy) 🔹 Prompt:“Learn the fundamentals of Natural Language Processing using NLTK and spaCy. Explore at

Day 6 Prompts

Hour 1 – Image classification demo (Keras CNN)👉 “Build a simple Keras CNN model for image classification using any dataset

Day 5 Prompts

Hour 1 – Train baseline ML model (scikit-learn)👉 “Using scikit-learn, train a baseline classification model (e.g., Logistic Regression or Random

Day 4 Prompts

Hour 1 – Exploratory Data Analysis with Matplotlib👉 “Using Matplotlib, plot sales data trends for the last 12 months. Add

Category: Education