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Introduction to Data Science

Introduction to Data Science

Build a strong foundation in R and start building your data science portfolio.

> Programming in R > Probability & Statistics > Exploratory Data Analysis > Data Analysis in Depth

http://bit.ly/2U3O00t

DataScience New York 2019(January 23-24)

DataScience New York 2019(January 23-24)

Join us in New York, January 23-24, for this unique peer-to-peer event for top data science minds. Explore how to drive innovation within your business through a data-driven culture, build a world-class team, and utilize the latest innovation to solve some of the toughest problems facing corporate America.

Book your tickets: http://bit.ly/2OWuepR

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

http://bit.ly/2Xrb4fk

Machine Learning Practical: 6 Real-World Applications

Machine Learning Practical: 6 Real-World Applications

> You will know how real data science project looks like > You will learn how to chain multiple ML algorithms together to achieve the goal > You will learn most advanced Data Visualization techniques with Seaborn and Matplotlib

(This is an affiliate link) http://bit.ly/2RcPlEZ

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.

http://bit.ly/2H0soNU

Real-World Machine Learning Projects with Scikit-Learn

Real-World Machine Learning Projects with Scikit-Learn - http://bit.ly/2LzHYC9

Hi.

Hi.

Implementation of 19 Regression algorithms in R using CPU performance data.

Abstract: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc

19 Regression algorithms in R

#R #MachineLearning #Regression

1) Ordinary Least Squares Regression 2)Stepwise Linear Regression 3)Principal Component Regression 4)Partial Least Squares Regression 5)Ridge Regression etc

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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Introduction to Data Science

Introduction to Data Science

> Programming in R > Probability & Statistics > Exploratory Data Analysis > Data Analysis in Depth

http://bit.ly/2U3O00t