05/22 - Deep Learning Hands-On Series - Data Exploration and API First Design 🎥
05/29 - Deep Learning Hands-On Series - Model Tuning 🎥
06/05 - Deep Learning Hands-On Series - Monitoring [cancelled]
- Statistical test, from scratch notebook
- Descriptive statistics and hypothesis testing
- Applying hypothesis based testing
- Good ideas in engineering notebook
- Introduction to Classification
- Applying classification notebook
- Introduction to neural networks notebook
- Descriptive Statistics and Hypothesis Tests
- Data exploratory analysis, preparation - 🙏🏾@mani
- Plethora of data science / ML links - 🙏🏾@mani
- Few other links by @mani
- https://github.com/neomatrix369/awesome-ai-ml-dl/tree/master/examples/data
- https://github.com/neomatrix369/awesome-ai-ml-dl/tree/master/notebooks#data-and-data-science
- https://github.com/neomatrix369/awesome-ai-ml-dl/tree/master/presentations/data
- IBM Cloud Signup - https://ibm.biz/BdqfdW
- Video showing how to provision Watson Studio Service - https://bit.ly/watson-studio-create
Eric Schles is a senior data scientist with 6 years of full time experience. During his time in industry he has worked in the anti human trafficking, cancer research, government and big tech spaces. During his time at Microsoft he worked as a consulting engineer building production systems for fortune 500 and 100 clients all over the world. During his time in government he worked for the Federal Reserve in San Francisco, the White House and the General Services administration, bringing data science into the procurement process, health systems, human resource systems and in various inter agency consulting capacities. In addition, he worked on strategic cross federal initiatives such as the white house data council and various internal research goals to bring data science to federal agencies as well as assess readiness of agencies for data science.