Learning is more meaningful when it’s used in real projects. The aim for the final week is to make something with all the skills acquired up until this point.
Kaggle’s Titanic: Machine Learning from Disaster challenge is an excellent place to start. It provides a famous problem with lots of guidance, ideal for confidence-building.
Additional datasets are available on websites such as the UCI Machine Learning Repository or data.gov.in. These include things like movie reviews, weather, air quality, and so forth. Choosing a subject that’s of personal interest, such as sports scores, mobile prices, or game statistics, increases the fun factor and the relevance of the learning.
To stay on track and get feedback, online communities like Reddit’s r/datascience, LinkedIn groups, or Discord servers offer a space where beginners can ask questions, share work, and connect with others on the same path.
