Willy Ngashu is a Fourth-year Computer Science student at MultiMedia University of Kenya. His interests are web development, Machine Learning and Android Development. He is passionate about machine learning and IOT appllications. Willy also loves writing articles on datascience and various advances in the technological industry.
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May 28, 2022
In Deep Neural Networks (DNN), the goal is to implement various machine learning techniques to balance the classes before using the dataset. This tutorial will implement undersampling, oversampling, and SMOTE...
Feb 23, 2022
H2O is an open-source, in-memory platform for machine learning. H2O provides implementations of many popular algorithms. It supports both supervised and unsupervised machine learning algorithms.
Jan 21, 2022
Multi-output classification is a type of machine learning that predicts multiple outputs simultaneously. In multi-output classification, the model will give two or more outputs after making any prediction. In...
Dec 10, 2021
Hyperparameters are parameters that can be fine-tuned and adjusted. This increases the accuracy score of a machine learning model. Machine algorithms such as Random forest, K-Nearest Neighbor and Decison trees...
Nov 10, 2021
Model interpretation finds out why a model makes certain decisions during the prediction phase. This ensures we have a fair, accountable, and transparent model.
Aug 11, 2021
Turi Create is an open-source python library developed by Apple, used to create core machine learning models for supervised and unsupervised learning. The models are used for classification, object detection,...