My name is Imran. I’m a beginner in Artificial Intelligence and Machine Learning, currently focusing on data preprocessing and model training.
Recently, I worked on handling missing values and checking correlations between target and feature columns. It was challenging but also very interesting for me.
I want to ask:
What are the best beginner-friendly projects you would recommend for someone like me who wants to improve step by step?
I would love to hear your suggestions, and I’m excited to learn from this community!
I’m currently attending a Machine Learning course that covers data preprocessing, supervised/unsupervised models, and evaluation techniques.
I’m currently doing an online Machine Learning course where I’m learning about linear regression, logistic regression, Naive Bayes, decision trees, and model evaluation.
I’m presently enrolled in a Machine Learning course, learning different ML models and their applications.
Hi @Imran8 , for a beginner I think you should absoluately follow 2 mentioned courses and then you can practice with some not very tricky projects like: hand-written recognition using MNIST dataset or the object classification with Cifar10 dataset.