Online Training Hands-On Feature Engineering with Python by Udemy

Get yourself trained on Hands-On Feature Engineering with this Online Training Hands-On Feature Engineering with Python.

Online Training Hands-On Feature Engineering with Python

Feature engineering is the most important aspect of machine learning. You know that every day you put off learning the process, you are hurting your models performance. Studies repeatedly prove that feature engineering can be much more powerful than the choice of algorithms. Yet the field of feature engineering can seem overwhelming and confusing.This course offers you the single best solution. In this course, all of the recommendations have been extensively tested and proven on real-world problems. Youll find everything included: the recommendations, the code, the data sources, and the rationale. Youll get an over-the-shoulder, step-by-step approach for every situation, and each segment can stand alone, allowing you to jump immediately to the topics most important to you.By the end of the course, youll have a clear, concise path to feature engineering and will enable you to get improved results by applying feature engineering techniques on your own datasets.About the AuthorSahiba Chopra has a Bachelors degree in economics and Chinese. She has 2.4 years of experience working in data science projects in renewable energy, video streaming, and microfinance. Currently, she’s working as a Lead Data Scientist at HAPPY – Financial Services. She regularly writes blogs on data science.

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Investing in yourself through Learning

As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.

And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.

Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.