About

Hey, I am Derrick Mwiti, a Google Developer Expert (GDE) and Kaggle Expert in machine learning. I started machinelearningnuggets.com to share nuggets in data science and machine learning. Together with other authors passionate about data science and machine learning, we share insights for people who are just getting into the field and people who are already in the field.  

Previously, I have created content for other publications such as KDnuggets, Neptune AI, Towards Data Science, and Datacamp, to mention a few. The feedback from these publications has been overwhelmingly positive. Here are some of them:

⭐"I've worked with many content writers professionals before, but Derrick is unique. I've never seen someone more dedicated, hard-working, attentive, and knowledgeable as Derrick.

Working with him is a real pleasure, and his results are spectacular. A true expert - who provides value consistently. " Yaniv Goldenberg Head of Growth at cnvrg.io ⭐

⭐"I rarely come across real talents who stand out like Derrick. I had the pleasure of working with Derrick for over one year at Neptune.ai, collaborating on several projects. Derrick’s ability to handle multiple projects was unlike any I’ve seen before and made a dramatic increase in the productivity level of our company. Derrick earns my highest recommendation " Pawel Kijko Head Of Advertising at neptune.ai ⭐

⭐"Derrick is a very talented technical writer. We worked on many blog posts on DS/ML, and he was a pleasure to work with. He is very responsive, open to feedback, and happy to learn new things. If you need help with technical content, Derrick is your guy! " Jakub Czakon, Chief Marketing Officer at neptune.ai ⭐

⭐"I have known Derrick since late March of 2018. As the Community Manager of Heartbeat, a publication and community sponsored by the Boston-based tech startup Fritz, I have worked as his point of contact and editor for a series of professional, paid technical articles. In the time since we’ve met, I’ve witnessed Derrick’s confidence soar, his writing ability and knowledge improve, and his leadership within our community positively impact the lives of others.

To this day, Derrick remains an indispensable member of our global community. He encourages other writers in culturally responsive ways, willingly takes time to show his appreciation for their efforts, and communicates with grace and self-assuredness.

I view Derrick as a highly mature, thoughtful, motivated young man who is capable of producing professional-quality work of his own and leading others to maximize their talents. He is also endlessly curious and is able to maintain positivity, even in the face of significant adversity and uncertainty. " Austin Kodra
Head of Content & Community Fritz.ai ⭐

⭐"We work with Derrick @Predictive Analytics Lab to transform the way corporates and professions make decisions using Data. He is an astute Data Scientist with a particular focus on emerging trends in Neural Networks and has robust knowledge set to revolutionize the way unstructured data is processed. He is a great instructor as well helping uplift others to gain the data science skillset " Timothy Oriedo Chief Data Scientist Predictive Analytics Lab ⭐

⭐ " Derrick is a great writer and delivers quality content within quick timeframes. I definitely recommend utilizing him as a contributor for articles, case studies, etc!" Kaila Mathis Growth Manager at CLLCTVE ⭐

⭐"Thank you sir, Seeing my improvement, I can say that this course is one of the best ones ever created. I have a better understanding with Streamlit and NLP now :)" Udemy Student ⭐

My background is in Mathematics and Computer Science(BSc). My areas of focus include but are not limited to:

  • Computer vision: image classification, object detection, image segmentation, etc
  • General machine learning: Scikit-learn, Python, XGBoost, CatBoost, LightGBM, Jupyter Notebooks.
  • Data visualization: Power BI, Google Data Studio, Matplotlib, Plotly, Altair, Seaborn, Plotly, SQL.
  • Deep learning: Keras, TensorFlow, HuggingFace, Netron, TensorBoard
  • Model deployment: AWS, Digital Ocean, Linode, GCP, Azure, Streamlit, Plotly's Dash.
  • Machine learning experimentation: Layer.ai, TensorFlow Extended, MLFlow, DVC, etc
  • Feature engineering: Featuretools
  • Hyperparameter optimization: Scikit-optimize, Optuna, Hyperpot, Keras Tuner
  • Auto-ML: Auto-Keras, Auto-Sklearn
  • Mobile ML: TensorFlow Lite, TensorFlow Lite Model Maker

⭐" I found a really complete landscape of the data science approach. The examples until now I saw are simple, clear, concise, and understandable. Great job."  Udemy student⭐

⭐" Yes am very much excited and have learned a lot thanks to you guys" Udemy student⭐

⭐"Because it was easy to learn and they teach very well and in short form" Udemy student⭐

⭐"This course is wonderful and this is helpful for us" Udemy student⭐

⭐" The course is well structured. I found it very helpful when I was preparing for a coding interview." Udemy student⭐

⭐" Although a small course, is a must-have for those of us who are starting in the overwhelming world of ML and/or Data Science. Expertly explained and perfectly done!" Udemy student⭐

⭐" This is an amazing course on a world-class level, I would recommend anyone who would want to start or advance their careers in Data Science" Udemy student⭐

⭐" Great course, everything is well explained and it is easy to follow the instructor" Udemy student⭐