Get yourself trained on Learn Python, Keras with this Online Training Learn Python, Keras & Pandas: Deep Learning & Data Analysis.
Online Training Learn Python, Keras & Pandas: Deep Learning & Data Analysis
An Epic Keras and Pandas Data Science Course!Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy.This course was funded by a #1 Kickstarter projectAnyone can take this course. No experience is required. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs.Or, you can follow the progression of this curated course especially designed to take any beginner off the street and make them a data modeler.Python Coding for BeginnersUse PyCharm and run Python files and programs on the interfaceBrush up on the fundamentals and fix bad coding habits in the #1 Python programming languageStep by Step Challenges and Advancing TopicsYou will learn how to use machine learning and neural networks with core concepts and examples. You’ll also gain a solid grasp of using convolutions!Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Crack Pandas and NumPy: Python Data Science Made EasyRead, write, and analyze data with pandas & Python!Learn Python Data Analysis with Pandas and Make a Unity GameThe Deep Learning Masterclass: Classify Images with KerasLearn to UseKeras and TensorFlowLearn to use the Keras API and SyntaxGet to know TensorFlow, the open source machine learning framework for everyoneBuild Dataset Models and ExampelsExplore the CIFAR10 image datasetBuild an image classifier model from scratchClassify images by training a modelWe’re going to have a lot of fun, and you’ll have complete projects to put on your resume immediately.Become a Data AnalystYou will also learn how to apply the Python programming languageto thepandas framework.You will learnhow to create and expand a dataframe.You get values from data and how to handle NaN values.You read and write data from and to the comma-separated values (CSV) file format.Get all source files for your quick referenceBy the end of this course you will be able to usedifferent approaches to analyzedata.Enroll Now for Lifetime Access
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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.