54 Hrs
3168+ Enrollments
Machine Learning Training
Machine learning is one of the most in-demand fields today, with countless applications in industries like healthcare, finance, and technology. Our Machine Learning Training course is designed to help you master the concepts and techniques you need to succeed in this field.
Machine Learning Training
Overview of Course
Machine Learning Training is a comprehensive course designed to provide you with a strong foundation in the field of machine learning. This course covers everything from the basics to advanced topics, including supervised and unsupervised learning, data preprocessing, feature engineering, model selection, and more.
Course Highlights
Hands-on experience with real-world datasets
Practical assignments to reinforce learning
Expert-led online sessions
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Data preprocessing and feature engineering
Model selection and hyperparameter tuning
Supervised and unsupervised learning
Regression and classification
Neural networks and deep learning
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Basic Syntax and Data Types
- Control Statements and Loops
- Functions and Modules
- Object-Oriented Programming
- File Input and Output
- Exception Handling
- What is Anaconda Navigator
- Download and Installation
- Using Anaconda Navigator
- Managing Packages with Anaconda
- Introduction to Machine Learning
- Types of Machine Learning
- Applications of Machine Learning
- Advantages and Disadvantages of Machine Learning
- Machine Learning Workflow
- What is Artificial Intelligence
- Types of Artificial Intelligence
- Applications of Artificial Intelligence
- Advantages and Disadvantages of Artificial Intelligence
- Future of Artificial Intelligence
- Types of Graphical Models
- Bayesian Networks
- Markov Networks
- Applications of Graphical Models
- Learning with Graphical Models
- Probability Theory
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Statistical Inference
- Introduction to Data Pre-Processing
- Data Cleaning
- Data Transformation
- Feature Scaling
- Data Integration and Reduction
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
- Deep Learning
- Introduction to KNN
- KNN Algorithm
- Choosing the Value of K
- Distance Metrics
- Applications of KNN
- Introduction to Decision Trees
- Decision Tree Learning Algorithm
- Overfitting and Pruning
- Handling Missing Values
- Applications of Decision Trees
- Introduction to Support Vector Machines
- SVM Algorithm
- Kernel Functions
- Soft Margin SVM
- Applications of SVM
- Introduction to Clustering
- Hierarchical Clustering
- K-Means Clustering
- DBSCAN Clustering
- Evaluation of Clustering Results
- Introduction to Artificial Neural Networks
- Perceptrons
- Multilayer Neural Networks
- Backpropagation Algorithm
- Applications of ANN
- Introduction to Natural Language Processing
- Text Pre-Processing
- Language Modeling
- Text Classification
- Sentiment Analysis
- Introduction to Reinforcement Learning
- Markov Decision Processes
- Q-Learning Algorithm
- Policy Gradient Methods
- Applications of Reinforcement Learning
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Software engineers
- Data analysts
- Data scientists
- IT professionals
- Anyone interested in learning machine learning
Prerequisite:
- Basic knowledge of programming and statistics
- Familiarity with Python programming language
Benefits of the course:
- Gain a comprehensive understanding of machine learning concepts and techniques
- Acquire hands-on experience with real-world datasets
- Enhance your career prospects by adding machine learning skills to your resume
- Get certified on successful completion of the course
Exam details to pass the course:
- Online examination at the end of the course
- Minimum passing score of 70%
Certification path:
- Skillzcafe Machine Learning Training Certificate
Career options:
- Machine learning engineer
- Data scientist
- Business analyst
- Data analyst
- Artificial intelligence engineer
Why should you take this course from Skillzcafe:
Expert-led training with industry professionals- Hands-on experience with real-world datasets
- Practical assignments to reinforce learning
- Lifetime access to course materials
- Certification on successful completion of the course
FAQs
The course duration is 54 hours.
The course is primarily taught using Python.
Yes, this course is suitable for beginners as well as experienced professionals.
The course uses real-world datasets from various industries.
Yes, you will receive a Skillzcafe Machine Learning Training Certificate on successful completion of the course.
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