Top Scikit learn Developers of May 2017

PhD, former university instructor and software engineer with 20 years of software development experience in MATLAB, Python, Java, C, and C++. Image Processing and Machine Learning are part of my all-balanced diet. Students get a 33% discount!

NOTE 1: Please note that if your language doesn't appear in my tags in my headline above, I probably don't know it! NOTE 2: I do not accept requests from those competing in algorithms competitions or want to solve problems requiring advanced knowledge of algorithms (HackerRank, TopCoder, etc.). Please refrain from these requests and look for another mentor. --- - Ph.D. (2013) - Electrical & Computer Engineering, Ryerson University, Toronto, Ontario, Canada: http://www.ee.ryerson.ca/ - Professional Engineer (P.Eng.) Designation - Province of Ontario, Canada - Former Vanier Canada Graduate Scholar (2010-2013): http://www.vanier.gc.ca/en/home-accueil.html - Currently an Advanced Computer Vision Engineer at Zebra Technologies: http://www.zebra.com - Was an instructor in various Electrical & Computer Engineering courses at Ryerson University: http://www.ratemyprofessors.com/ShowRatings.jsp?tid=1558334 - Research focus: Computer Vision, Image Processing, Machine Learning and Numerical Methods: http://scholar.google.ca/citations?user=5piX29gAAAAJ&hl=en - 20 years of software development experience in MATLAB, Python, Java, C and C++: http://ca.linkedin.com/in/rayryeng

Full stack developer. Any problem is just an opportunity to get creative.

World traveler, music geek and creative coder. I'm a full stack developer with emphasis in front end technologies Currently working in a machine learning project. I also like to combine art projects with technology :)

Data-driven engineering strategist. Consultant at Trailblazing Technology, Inc.

Expert programmer proficient in Python, Java, SQL, C/C++, and pretty good with JS/CSS/HTML, too! The main things I can probably help you with are Python/Django/Celery/etc., Java/Spring projects, and DevOps (AWS, DigitalOcean, Rackspace, Heroku... everything from managed deployment services like Elastic Beanstalk or Dokku/Deis to Jenkins, Active Directory/LDAP, and custom ETL solutions).

CTO/Deep learning Researcher (NLP) @ Neuron

I am the CTO/Deep Learning Researcher(NLP) at Neuron and supervise the research and development work of Neuron's core NLP platform. Area of work: - Deep Learning in NLP - Recurrent/Recursive Neural Nets, Convolutional Neural Nets, Attention Networks - Sequence Labelling, Sentence Classification, Auto encoders, Encoder-Decoder Models, Sentence Embeddings, Predictive Statistical Modelling - Machine Learning - Regression, Ensemble Learning, Neural Nets, Recommendation Systems Interested in working with: - Memory Networks - Deep Reinforcement Learning - Deep Generative Models - Optimization methods for DNNs - Deep Learning for Computer Vision

Hire the ONLY Award-Winning Machine Learning Expert of CodeMentor

*** 100+ sessions COMPLETED with ONLY FIVE STARS ratings! *** I help companies use data to predict important tasks using machine learning models. Answering questions like: Will a customer stop buying from us? How much of this product are we selling next month? What product this customer is likely to be interested in buying? And many more! Check some articles I write about ML at: http://www.mariofilho.com I am a Kaggle Competitions Grandmaster, and my highest rank is 12th of 46,000+ data scientists. Machine Learning Competitions Results - 1st of 1323 at Caterpillar Tube Pricing Goal: model quoted prices for industrial tube assemblies that Caterpillar buys from multiple suppliers to help in the pricing of its final product - 1st of 974 at Telstra Network Disruptions Goal: create a model to predict service faults on Australia's largest telecommunications network - 3rd of 548 at Avito Duplicate Ads Detection Goal: create a model to detect duplicate ads in a Russian classifieds platform - 6th of 985 at Facebook Recruiting IV: Human or Robot? (Top 0.6%) Goal: Predict if an online bid is made by a machine or a human - 13th of 2125 at Home Depot Product Search Relevance (Top 0.6%) Goal: Predict the relevance of search results on homedepot.com

Professional Data Scientist and Developer

I create predictive engines and other analytical products. I use many different kinds of machine learning algorithms. Much of my recent work is in the natural language processing (NLP) space. I teach two Codementor Live classes: Intro to Python, and Into to Machine Learning in Python. I work on projects in many areas including automated stock, futures and options trading, risk analysis, modeling and simulation, software and database architecture, and data conditioning. I enjoy teaching and focus on clear, effective, two-way communication. I am a native English speaker.

web programming enthusiast

I take your ideas and transform them into reality. I'm result-driven and also keen about doing things the effective & efficient way

Software Engineer | Data Enthusiast

I'm a software engineer based in London. I have over 7 years experience coding. I have a first in Computer Science and have worked with the British government, IBM and the leading financial data provider (Bloomberg L.P.) . I'm now doing some freelance work now alongside my work in the fintech space.

Data Scientist | Data Visualization | Columbia Graduate Student | Computer Science Engineer | IIIT-H Alumnus

I am currently a graduate student at Columbia University majoring in Data Science, with an interest in Statistical Inference and Modeling, Data Visualization as well as Machine Learning. In particular, I have strong quantitative skills from my mathematics background and experience with data mining and analysis through Python, MATLAB. I also enjoy working on web and mobile development and learning the latest tools and technologies. At Columbia, I am learning the skills with undivided Focus and Consistency, giving proper Significance to learning and being Restorative towards the issues faced along the way, trying always to be deliberative towards my career goals. Deliberative, Significance, Consistency, Restorative, Focus - These aren’t just words for me, these are my superpowers. My learning experiences, marathon adventures and quantified self enthusiasm are perfectly captured by them.

Python, Machine Learning, Data Engineering

I use mathematics and machine learning to analyze & explain data. When the machine doesn't learn, I do it the old-fashioned way: I use my brain and do my own learning instead. I've been working as a software engineer for the last 5-6 years. I consider my skillset to lie somewhere in the intersection between software engineering , data engineering and data science (machine learning) (that is to say, in other words front-end is not my thing). I've worked with all the cool Python libraries through the whole "data lifecycle": crawling data, queuing systems, db management, training ML models, API design and deployment management (Ansible mainly) Libraries include: Pandas, NumPy, Scikit-learn, matplotlib, Flask, python-rq, celery, requests (of course), selenium and many more. I do consider myself to a major extent a data engineer as well. I've managed mainly Hadoop clusters, MongoDB and ElasticSearch ones. Occasionally I teach corporate seminars on such topics. I'm also a huge fun of Redis and I always try to fit it in my architecture if I think it can help (it almost always can). I've also research experience on such topics and a couple of publications as well. You may have a look here http://dl.acm.org/citation.cfm?id=2627773 and http://ceur-ws.org/Vol-1558/paper38.pdf I have consulted many international companies in the areas of predictive analytics, market analysis and marketing budget allocation, mainly in the telecoms and retail industry. Occasionally, I also teach corporate courses & seminars on software engineering, data analysis and big data systems engineering.

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