5 essential tips for beginners in Machine Learning!

➡ Be patient. Learning machine learning takes time. So, don't get discouraged if you don't understand everything right away. Be positive, be consistent and keep going!

➡ Start simple. Begin with easy algorithms like linear and logistic regression before moving on to more complex ones like bagging, boosting, neural networks etc. This helps to build a solid foundation.

➡ Follow a structured approach. Pick a good online course and stick to it. Jumping around from one learning source to another can be overwhelming and make it hard to stay motivated.

➡ Practice with code. Don't just learn the theory. Try to implement whatever you have learnt in code. Machine learning is a combination of theory and implementation.

➡ Read and explore. Keep checking blogs, articles and discussions on platforms like Medium, LinkedIn, Kaggle etc. This can help you learn from others and expand your knowledge of machine learning concepts.

What else would you like to add to the list?