Beginner in Machine Learning – Need Guidance

Hello everyone! :waving_hand:

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:

:backhand_index_pointing_right: 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! :rocket:

Thank you in advance

Which courses have you attended?

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.

The usual starting sequence is:

  • the Machine Learning Specialization (on Coursera)
  • the Deep Learning Specialization (on Coursera)

From there your next courses depends on your specific interests.

All of the courses contain small projects that you complete in order to earn your grade in the course.

Yeh you are absolutely right. Thanks for your guidance. I am very thankful to you

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.