Master Machine Learning Fundamentals in 4 Months

Getting stuck trying to master all of calculus and linear algebra before moving on to coding.

Timebox your math review. Focus only on the math required to understand the specific algorithm you are currently studying. Use the 'just-in-time' learning method.

Deep learning frameworks can be overwhelming and are often taught using image/text data, not tabular data.

Specifically search for 'PyTorch for tabular data' tutorials. Don't get distracted by Convolutional or Recurrent Neural Networks (CNNs/RNNs) right now.

Spending too much time on data cleaning and not enough on model deployment during the capstone.

Pick a relatively clean dataset from Kaggle for your first end-to-end project so you can focus on the full lifecycle rather than just data wrangling.