I'm a non-traditional (i.e. old) CS major. Will be a junior in the fall. My education path is really odd as I didn't graduate highschool due to a bad family situation and mental health issues.

I never took geometry.

At this point I've completed college algebra and trigonometry and am taking Calc 1 in the fall. For the degree, I plan on taking linear algebra, intro to statistical methods and intro to machine learning, which is:

Models and Algorithms for Classification: k-NN, Decision Trees, Neural Networks, Logistic Regression, Naive Bayes and Bayesian Networks, Support Vector Machines; Clustering: Hierarchical and k-Means, Kohonen Networks, Association Rules and Segmentation, Model Evaluation Techniques; Ensemble Methods: Bagging and Boosting

Am I going to have issues because I never completed HS geometry?