Master languages like Python and R for effective data manipulation and model building.
Familiarize yourself with supervised, unsupervised, and reinforcement learning algorithms for various applications.
Learn data cleaning, preprocessing, and feature engineering to enhance dataset quality and model accuracy.
Grasp statistics for analyzing data distributions and making informed decisions based on model results.
Develop skills in NLP for analyzing and generating human language in applications like chatbots.
Understand metrics like accuracy, precision, and recall to evaluate model performance reliably.
Enhance your ability to explain complex concepts clearly to non-technical stakeholders for effective collaboration.