Learning Python Artificial Intelligence By Example

Data Science Career Track Prep Course

Data Science Career Track Prep Course

Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.

> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge

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Data Science Bootcamp: Pay only after you get a data science job.

Data Science Bootcamp: Pay only after you get a data science job.

> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee

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Data Science with R - Best books to become an expert

Data Science with R - Best books to become an expert

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Data Science Bootcamp: Pay only after you get a data science job.

Data Science Bootcamp: Pay only after you get a data science job.

> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee

http://bit.ly/2L4aBJC

Greenline Artificial Lawns.

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Metals, Miners and Forex Premium Membership

Metals, Miners and Forex Premium Membership

> Daily and Weekend updates on the following Metals: Gold, Silver, Platinum > Daily and Weekend updates on the following Mining ETFs: GDX/GDXJ, SIL, PPLT > Daily and Weekend updates on the following Currencies: USD, AUSD, YENN and others as/if opportunity arises.

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Artificial Intelligence Masterclass

Artificial Intelligence Masterclass

> How to Build an AI > How to Build a Hybrid Intelligent System > Fully-Connected Neural Networks > Deep Reinforcement Learning

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Projects in Hadoop and Big Data - Learn by Building Apps

Projects in Hadoop and Big Data - Learn by Building Apps

> Understand the Hadoop Ecosystem and Associated Technologies > Get fully functional VMs fine tuned and created specifically for this course. > Learn Concepts to Solve Real World Problems

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Data Science Projects with Python

Data Science Projects with Python

> Use lasso and ridge regression to reduce overfitting > Fit and tune a random forest model and compare performance with logistic regression > Create visuals using the output of the Jupyter Notebook

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