Derrick Mwiti

Data Scientist

Derrick Mwiti is experienced in data science, machine learning, and deep learning with a keen eye for building machine learning communities.

Boosting Machine Learning Algorithms: An Overview

By Derrick Mwiti, Data Scientist on July 8, 2022 in Machine Learning
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.
Linear Machine Learning Algorithms: An Overview

By Derrick Mwiti, Data Scientist on July 1, 2022 in Machine Learning
In this article, we’ll discuss several linear algorithms and their concepts.
Image Classification with Convolutional Neural Networks (CNNs)

By Derrick Mwiti, Data Scientist on May 4, 2022 in Machine Learning
In this article, we’ll look at what Convolutional Neural Networks are and how they work.
Binary Classification with Automated Machine Learning

By Derrick Mwiti, Data Scientist on May 17, 2021 in Automated Machine Learning, AutoML, Classification, Open Source
Check out how to use the open-source MLJAR auto-ML to build accurate models faster.
A Comprehensive Guide to Ensemble Learning – Exactly What You Need to Know

By Derrick Mwiti, Data Scientist on May 6, 2021 in CatBoost, Ensemble Methods, Machine Learning, Python, random forests algorithm, scikit-learn, XGBoost
This article covers ensemble learning methods, and exactly what you need to know in order to understand and implement them.
Gradient Boosted Decision Trees – A Conceptual Explanation

By Derrick Mwiti, Data Scientist on April 30, 2021 in CatBoost, Decision Trees, Gradient Boosting, Machine Learning, Python, scikit-learn, XGBoost
Gradient boosted decision trees involves implementing several models and aggregating their results. These boosted models have become popular thanks to their performance in machine learning competitions on Kaggle. In this article, we’ll see what gradient boosted decision trees are all about.
The Best Machine Learning Frameworks & Extensions for Scikit-learn

By Derrick Mwiti, Data Scientist on March 22, 2021 in Machine Learning, Python, scikit-learn
Learn how to use a selection of packages to extend the functionality of Scikit-learn estimators.
Pruning Machine Learning Models in TensorFlow

By Derrick Mwiti, Data Scientist on December 4, 2020 in Machine Learning, Modeling, Python, TensorFlow
Read this overview to learn how to make your models smaller via pruning.
Deploying Trained Models to Production with TensorFlow Serving

By Derrick Mwiti, Data Scientist on November 30, 2020 in Deployment, Modeling, Neural Networks, Python, TensorFlow
TensorFlow provides a way to move a trained model to a production environment for deployment with minimal effort. In this article, we’ll use a pre-trained model, save it, and serve it using TensorFlow Serving.
Dealing with Imbalanced Data in Machine Learning

By Derrick Mwiti, Data Scientist on October 29, 2020 in Balancing Classes, Machine Learning, Python
This article presents tools & techniques for handling data when it's imbalanced.

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