That’s a great starting point! Your scraped data from Threads and Instagram can be a valuable resource for exploring AI/ML. Here’s a general roadmap to get you started:

• Understand Your Data: Before diving into AI/ML models, it’s crucial to understand your data. Analyze the content you scraped from Threads and Instagram. What format is it in (text, images, videos)? What kind of information does it contain (captions, comments, user data)?

• Choose an AI/ML Approach: Based on your data and goals, you can explore different AI/ML techniques. Here are some options to consider:

  • Text Analysis: If your data is text-heavy, you can use natural language processing (NLP) to analyze sentiment, topics, or emerging trends. -Image Recognition: If you have a lot of images, you can use computer vision to identify objects, scenes, or classify images based on their content.

• Start Simple: Begin with well-established algorithms like linear regression or decision trees. These can provide valuable insights without requiring deep learning expertise.

• Utilize Online Resources: There are plenty of online tutorials and courses that can introduce you to AI/ML concepts. Platforms like Google Colab offer free computing resources to experiment with code. Remember, this is an ongoing learning journey. Start with small steps, explore different resources, and don’t be afraid to experiment!