Developing AI and Machine Learning Solutions with Python Training
Developing AI and Machine Learning Solutions with Python Training
Training Developing AI and Machine Learning Solutions with Python - Online E-Learning Course. Order and start immediately for the best price.
Read more- Brand:
- Artificial Intelligence
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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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