Welcome on board! Hope you find some time and I'll show you the Joker in me. I'm Nyakundi Lamech, a pretty cool learner and forever visionary in tech. Oops! What you just read is what I aspire to be when I grow up. However, most of the time nowadays I am a grown up.
Currently founded a start-up dupped Esavior together with two other students from EPFL, Switzerland with a goal of promoting wildlife population monitoring and mitigating Human-Elephant conflicts.
But I have to let you know that I'm a Web Designer and aspiring Developer proficient in a range of modern technologies including Python, JavaScript, R, STATA, HTML, Tensorflow and an android novice. Like what you see? Contact me.
As a student I have always believed that the future lies in my hands. Looking forward to up my skills through internships opportunies. Currently studying android app development independently. I'm anxious about deploying machine learning models that can actually solve a real world challenge and Esavior satrt-up has given me this opportunity.Moreover, while working at Esavior, I have had the chance to meet and interview senior scientists and researchers regarding conservation. Not very far from this visions, I can see them happen.
First real world data to ever work on. Managed to visualize and analyse the given sales dataset, bringing the sense out of it.
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Designed and developed this Esavior website to potray some of the work we are doing. This site is under development but find time and check it out.
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A website prototype designed during a 5 week bootcamp at Moringa School in summer 2019.I worked with HTML5, Javascript(JQuery), and CSS(Bootstrap)
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Passionately designed this site and it is my very key entrepreneurial starting point. So proud of this project. Really learnt how to deal with Marketing the hard way. Hahahaha!
Learn MoreDuring my summer 2019 bootcamp at Moringa School, I participated in a series of webinars and hackathons challenges along side my peers. I worked with JavaScript(Jquery) and Angular. Most recently attended the online XLS Form Authoring webinar from ONA.
I'm an active member of Nairobi AI, a team of young developers who are optimistic about AI. Just lucky to have attended android DevSummit 2019, Tensorflow Roadshow Nairobi and a number of Meetup events held by Nairobi AI. Through this conferences and meetup events, I have an enthralling insight about Machine learning. Moreover, got to embrace the usability of Jupyter Notebook in my projects.
Machine Learning algorithms are currently being used to optimize decision making in so many industries today. We need to ensure that these decisions not only scale profit for business but also act fairly. Would you join me in this learning journey?
The three main metrics used to evaluate a classification model are accuracy, precision, and recall. As model development is a time taking procedure itself, and we don’t train model at run-time in production. We don’t bother much about computational efficiency.
Machine learning is a powerful method for building models that use data to make predictions. In embedded systems — typically running microcontrollers and constrained by processing cycles, memory, size, weight, power consumption, and cost — machine learning can be difficult to implement, as these environments cannot usually make use of the same tools that work in cloud server environments.
Machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses. The most common unsupervised learning method is cluster analysis, which is used for exploratory data analysis to find hidden patterns or grouping in data.