Get yourself trained on  Machine Learning with this Online Training  Machine Learning Classification Bootcamp in Python.
Online Training  Machine Learning Classification Bootcamp in Python
Are you ready to master Machine Learning techniques and Kick-off your career as a Data Scientist?!You came to the right place!Machine Learning skill is one of the top skills to acquire in 2019 with an average salary of over $114,000 in the United States according to PayScale! The total number of ML jobs over the past two years has grown around 600 percent and expected to grow even more by 2020.This course provides students with knowledge, hands-on experience of state-of-the-art machine learning classification techniques such asLogistic RegressionDecision TreesRandom ForestNave BayesSupport Vector Machines (SVM)In this course, we are going to provide students with knowledge of key aspects of state-of-the-art classification techniques. We are going to build 10 projects from scratch using real world dataset, heres a sample of the projects we will be working on:Build an e-mail spam classifier.Perform sentiment analysis and analyze customer reviews for Amazon Alexa products.Predict the survival rates of the titanic based on the passenger features. Predict customer behavior towards targeted marketing ads on Facebook.Predicting bank clients eligibility to retire given their features such as age and 401K savings. Predict cancer and Kyphosis diseases.Detect fraud in credit card transactions.Key Course Highlights: This comprehensive machine learning course includes over75 HD videolectureswith over 11 hours of video content.The course contains 10 practical hands-on python coding projects that students can add to their portfolio of projects.No intimidating mathematics, we will cover the theory and intuition in clear, simple and easy way.All Jupyter noteboooks (codes) and slides are provided. 10+ years of experience in machine learning and deep learning in both academic and industrial settings have been compiled in this course. Students who enroll in this course will master machine learning classification models and can directly apply these skills to solve real world challenging problems.
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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.