Who we are

We sew together machine learning (unsupervised, supervised, and reinforced) with frameworks (Tensor Flow, Keras, and PyTorch) to build statistical models (regression and network). These models will assist in several ways, speeding up the decision-making process. During the optimization process, we will utilize feature engineering, data augmentation, optimizers, Power Apps & Microsoft Suite, Python, Data Frames, Terminals, OpenCV, Entity Identification and Tagging, Scikit-learn, Scraping APIs, Topic Modeling, Semantic Indexing, LDA, LSA, NLP, NER, NER-NLTK, SQL, AWS, AZURE, COLAB, SAS, Jupyter, R, STATA, Tableau, and more to give you a tailored experience.