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