My Data Science & AI/ML Internship Preparation Notes

1. 1Review linear regression and its applications using scikit-learn
2. 2Practice implementing neural networks using TensorFlow or PyTorch
3. 3Study supervised and unsupervised learning techniques
4. 4Familiarize yourself with data preprocessing and visualization tools like Pandas and Matplotlib
5. 5Build a personal project to demonstrate your Data Science and AI/ML skills

Data scientists and AI/ML engineers can benefit from these notes to refresh their knowledge and prepare for interviews, while team leaders can use them to assess candidate skills

💡 Focus on fundamentals of Data Science and AI/ML, including linear regression, neural networks, and data preprocessing

Boost your Data Science & AI/ML interview prep with these beginner-friendly revision notes 📝💻