Scenario 1: Hands-On Python Foundations Scenarios – Getting started with Python (Link to be provided during Live Training) Discuss ways of installing Python How to choose an IDE (IDLE, Jupyter, VSCode or PyCharm) Running your first code How to use Python as a calculator Q&A (5 mins) Brea...
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts Python Certification ...
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Learn one of the top languages used in data science and machine learning with this new hands-on course by TDWI Online Learning. In this eight-hour class, students will use Jupyter notebooks to learn and develop Python code. By the end of this workshop, you will have learned the basics of...
clustering,featureselectionandtransformation,andinformationtheory.Youwillgethands-onexperiencewithhowneuralnetworkscanbeemployedinunsupervisedscenarios.YouwillalsoexplorethestepsinvolvedinbuildingandtrainingaGANinordertoprocessimages.Bytheendofthisbook,youwillhavelearnedtheartofunsupervisedlearningfordifferentreal-world...
Sudharsan Ravichandiran创作的计算机网络小说《Hands-On Reinforcement Learning with Python》,已更新章,最新章节:undefined。Ifyou'reamachinelearningdeveloperordeeplearningenthusiastinterestedinartificialintelligenceandwanttolearnaboutreinfo…
Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical ...
Hands-On Meta Learning with Python上QQ阅读APP,阅读体验更流畅 领看书特权 Algorithm The algorithm of the prototypical networks is shown here: Let's say we have the dataset, D, comprising {(x1, y1), (x2, y2), ... (xn, yn)} where x is the feature and y is the class label. ...
This course is included with Coursera Plus or costs $49 per month on its own. You can access the course on any device and move at your own pace, although you’ll need to finish a “hands-on project” to receive the certification. Unlike the other courses on this list, this ...
Step 4 – Performing scaling on the features Step 5 – Splitting the dataset into test and train datasets Step 6 – Creating a neural network object in sklearn Step 7 – Performing the training Implementing the frontend Implementing the backend Deploying the project to Heroku Security measures mon...