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Have practical work experience using all aspects of the Python ecosystem such as numpy, pandas, SciKit Learn, Tensorflow, flask and dask. Experience ranges from simple scripting, development of data pipelines and algorithmic analysis.
Am able to perform data science alongside broader compliment of skills such as web development, interactive dashboards, cloud computing and API design.
Full spectrum algorithm experience: deep learning, boosting, unsupervised, and time series. I can work with both libraries as well as do custom algorithm development.
Day long workshop that takes you from 0-60 with Tableau. Start with the basics of the UI, and end building an interactive dashboard with advanced functionality.
In this condensed, impactful 90 minute workshop we start with the basics of Tableau and systematically work through its major charting capabilities.
A day long workshop that will introduce beginners to the basics of the python language, as well as the most important parts of its ecosystem.
Go beyond the basics of python and learn about the major libraries that enable python to be used as tool to manage and evaluate data. Dedicated to numpy, pandas, matplotlib and seaborn.
A 2-day intensive that introduces the most important Machine Learning concepts via Python. Hands on practice with regression & classification problems using SciKit Learn & Tensorflow.
Learn the basics of python anywhere! This remote workshop will allow beginners to get their first taste of python by studying the fundamentals of the language and its ecosystem.
Take 20 classes to get yourself up to speed on the latest tools and methods that are used in industry today.
The class has 4 modules that walk you through the entire data science process: collecting and building usable datasets, cleaning data and building dashboards, and machine learning + deep learning.
Tools and techniques covered include API's and Web Scraping, Pandas, Scikit-Learn, Tensorflow, xgboost, dash and dask.
Previous students get to continue their education with me by having access to highly relevant 2-hour webinars that cover the most up-to-date advances in Data Science.
These classes are held over Google Meet, and go over the most recent libraries and frameworks that are being released in an easy-going, 2 hour interactive format.
It's absolutely critical to continue your education after you invest in an official class and these are a great way to keep yourself fresh.