Developing AI and Machine Learning Solutions with Python E-Learning Kurs
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Ausbildung Developing AI and Machine Learning Solutions with Python - Online E-Learning Course. Order and start immediately for the best price.
- E-Learning - Online-Zugang: 365 Tage
- Englische Sprache
- Teilnahmeurkunde
- Bestellt für 23:00:00, morgen zu Hause
- Zertifizierte Lehrer
- Interaktives Training + praktische Aufgaben
- Teilnahmebescheinigung
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Developing AI and Machine Learning Solutions with Python E-Learning
Order this great E-Learning Training Exploring Artificial Intelligence online course 1 year 24/7 access to rich interactive videos, voice, practice assignments, progress monitoring through reports and tests per subject to test the knowledge directly. After the course you will receive a certificate of participation..
Kursinhalt
Machine Learning Concepts
Machine Learning and Deep Learning
Implementing Regression
Exercise: Working with Data Frames
AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning
Unsupervised Learning
K-Mean Clustering
Hierarchical Clustering
Text Mining and Recommender Systems
Text Mining and Data Assemblz
Deep and Reinforcement Learning Concepts
Restricted Boltzmann
Working with CNN
Exercise: Working with Data Frames and Centroids
AI and ML Solutions with Python: Deep Learning and Neural Network Implementation
Recurrent Neural Network
Data Sampling
Applying PCA
Gaussian Regression Process
Linear Model
Pre-Model and Workflow
Classification and Bayesian Ridge
Linear Regression Modelling
Logistic Regression Using Linear Method
Exercise: Working with Linear Regression
AI and ML Solutions with Python: Implementing ML Algorithm Using scikit-learn
Least Absolute Shrinkage
Bayesian Ridge Regression Using scikit-learn
Data Classification
Decision Tree Classification
Vector Machine Using scikit-learn
Document Classification and Naive Bayes
Post Model Validation
Using Shufflesplit
Brute Force Grid Search
Exercise: Working with Decision Tree Classifiers
AI and ML Solutions with Python: Implementing Robotic Process Automation
Fake Estimator
Introducing Robotic Process Automation
RPA Frameworks
Implement Pattern Matching Using Python
Task Scheduler and Program Auto Launch
Manipulate Images
File Operation Automation
UiPath Fundamentals
Implement RPA using UiPath
Exercise: Working with Image Filters
| Studiengebühr | 5 Stunden Dauer plus Übungen (variabel) |
| Sprache | Englisch |
| Online-Zugang | 1 Jahr |
| Teilnahmebescheinigung | Ja, nach 70% der erfolgreichen Einsätze |
| Fortschrittsüberwachung | Ja |
| Geeignet für Handys | Ja |
| Preisgekröntes E-Learning | Ja |
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