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Item number: 104396852

Developing AI and Machine Learning Solutions with Python Training

Item number: 104396852

Developing AI and Machine Learning Solutions with Python Training

159,00 192,39 Incl. tax

Training Developing AI and Machine Learning Solutions with Python - Online E-Learning Course. Order and start immediately for the best price.

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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.

Artificial Intelligence (AI) is an approach adopted by machine learning (ML) and Python and is one of the most popular languages used to implement machine learning. This learning path includes detailed information on the implementation of machine learning and deep learning algorithms using Python and various other related frameworks. This learning path also covers the concept of robotic process automation (RPA) implementation using Python.

Course content

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
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 5:55 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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