Python - Data Science Python - Big Data - Programmeren (algemeen) - Machine learning - Artificial Intelligence - Developing AI and Machine Learning Solutions with Python - Functioneel programmeren - Programmeren voor beginners

Python / Data Science Python / Programmeren (algemeen) / Machine learning / Artificial Intelligence / Developing AI and Machine Learning Solutions with Python.  

Bestel deze geweldige Elearning Training Developing AI and Machine Learning Solutions with Python online cursus, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, praktijkopdrachten, voortgangsbewaking door rapportages en testen per onderwerp om de kennis direct te toetsen. Na de cursus ontvangt u een certificaat van deelname.

Cursusinhoud

AI and ML Solutions with Python: Machine Learning and Data Analytics

Course: 1 Hour, 4 Minutes

• Machine Learning Concepts
• Machine Learning and Deep Learning Machine Learning and AI Correlation Installing Python for
• Machine Learning Analytics Types and Techniques Benefits of Predictive and Descriptive Analytics
• Nominal, Ordinal, Interval, and Ratio Data Metrics
• Supervised Learning Algorithm
• Implementing Regression
• Exercise: Working with Data Frames

AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning

Course: 1 Hour, 31 Minutes

• Working with Classification
• 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

Course: 1 Hour, 3 Minutes

• 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

Course: 1 Hour, 14 Minutes

• 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

Course: 1 Hour, 3 Minutes

• 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