WebAug 1, 2024 · Full-Stack ML Engineer with Masters's in Analytics using Python/PySpark for scalable and operational machine learning and deployment within numerous domains. As a Senior Manager, Data Scientist at Rogers, I lead the Natural Language Processing initiatives at Rogers Communications with a focus on Topic modelling and … WebMar 28, 2024 · The combined dataset includes 6840 occurrences across central Africa (Figure 1) for 31 species of carnivores (out of 35 species in the study area according to Wilson & Mittermeier, 2009), 64 species of primates (out of 73 according to Mittermeier et al., 2013) and 49 species of artiodactyls (out of 57 according to Wilson & Mittermeier, …
Frontiers Driving drowsiness detection using spectral signatures …
Web2 days ago · We transform the raw dataset using feature engineering methods, ... bootstrap: False, max_depth: 5, min_samples_leaf: 3, ... the model on the unseen data was slightly reduced to 82.35% from 85% which was achieved from the train/test on the same dataset. Similarly, the F-score also reduced to 66.66% from 76.48%. ali grillt
FATHIMATHUL HARSHIMA PT - Digital Learning Consultant -Data …
WebMar 22, 2024 · This allows for a comparison of methods across all bootstrap samples. Five methods are included, they are: boot.strata - This method estimates propensity scores … WebApr 16, 2016 · Developed an application that benchmarked Machine Learning algorithms, reporting their performance and execution time. Deployed training of large datasets on cloud and tested device performance ... WebAs a result, we'll get R values of our statistic: T 1, T 2, …, T R. We call them bootstrap realizations of T or a bootstrap distribution of T. Based on it, we can calculate CI for T. … ali grieve