Machine Learning Course
Teaching Machines to Learn From the Data Without Explicitly Programming.
Languages and Tools covered
Online
₹30,000/ *
- Online Training Program
Offline
₹35,000/ *
- Classroom Training Program
- 12 Weeks, 30 Sessions Program
- 5 Major Project
- 30 Algorithm Exercises
- Hybrid Learning Model
- Certification Program
- Internship Included
- Job Placement Assistance
- Hackathon with Certification
- Regular or Weekend Batches
Get FREE 1:1 Counselling
Python Programming
This section covers the fundamentals of Python programming, laying a strong foundation for learners to develop their programming skills. It progresses from basic syntax and data types to more advanced topics like object-oriented programming and error handling.
Python Language
+
- Fundamentals
- Syntax
- Keywords
- Comments
- Variables
- Input / Output Operations
- Data types
- Strings
- List
- Tuples
- Set
- Dictionary
Conditional Statements & Control Loops
+
- if statement
- if-else
- Nested if
- For
- While
- Nested Loops
- Range
- Break
Advanced Python - Functions
+
- Default
- User-defined
- Lambda
- Nested
- Recursion
- Decorators
- Iterators
- Map
- Filter
Object Oriented Programming
+
- Classes
- Objects
- Principles
- Encapsulation
- Docstrings & Constructor
Error & Exception Handling
+
- Errors
- Assertions
- Exception Handling
- User-defined exceptions
Statistics for ML
+
- Data Types
- Samples
- Measures of Central Tendency
- Measures of Dispersion
- Positions
- Distribution
- Sampling
- Hypothesis Testing
- Probability
- Distributions
- Probabilistic Theorems
Machine Learning
This section introduces the core concepts of machine learning, including supervised and unsupervised learning techniques. It covers essential algorithms and methods, providing learners with the skills needed to build and evaluate machine learning models.
Machine Learning
+
- Introduction
- Libraries
- Data Sourcing
- Exploratory Data Analysis (E.D.A)
- Feature Engineering
Supervised Learning
+
- Linear & Multiple Linear Regression
- Logistic & Multiple Logistic Regression
- Support Vector Machine
- Naive Bayes
- K-Nearest Neighbor
- Decision Trees
- Ensemble Methods
- Optimization Techniques
Unsupervised Learning
+
- K-Means Clustering
- K-Medoid Clustering
- DB-Scan Clustering
- Optimization Techniques
Deep Learning Concepts
+
- Introduction to Neural Networks
- Artificial Neuron
- Artificial Neural Networks
- Convolutional Neural Networks (CNN)
- Artificial Neural Networks (ANN) vs CNN
- Case Studies
Projects
+
- 2 Real-time Projects
Curriculum
The Curriculum supports step-by-step transformation while building confidence to handle various domain problems.
30 Sessions
Learning content
10+
Languages & Tools
WhyMachine Learning
Machine Learning empowers systems to learn from data and make decisions without explicit programming. With applications in regression, clustering, classification, and more, it is a vital part of Data Science and AI, making it highly sought after by organizations investing in the future.
- Data-Driven Learning:
- Understand how systems can learn from data and make autonomous decisions, driving innovations across industries.
- Model Building:
- Gain expertise in building models tailored to specific business applications, from regression to classification and beyond.
- Real-World Impact:
- Learn to apply machine learning to analyze vast amounts of data, helping organizations align with market needs and solve complex business problems.
Course Information
The Machine Learning course would build the essential knowledge related to Supervised and Unsupervised algorithms so that you could select the right algorithm to address the business problem. Through this course, you would solve various hands-on exercises that make you confident to handle any requirement. Post completion of the course the learners could work with organizations to build efficient models. The application part of this course would prepare you for the future and the internship option would give you the necessary exposure.
All-in-one Machine Learning Program
Our Machine Learning course is designed to provide you with the skills needed to excel in this cutting-edge field. The program focuses on making learning accessible and job-focused, with minimal coding required. Through a hybrid learning model, hands-on projects, and comprehensive job preparation, you’ll be ready to take on the challenges of a career in machine learning.
- Easy to learn and Job-ready program
- The curriculum is designed to be accessible and focuses on ensuring you are prepared for a career in machine learning.
- No coding involved
- This course is structured to minimize the need for extensive coding, making it accessible even to those without a programming background.
- Hybrid Learning Model
- Benefit from a flexible learning experience with both online and offline sessions, allowing you to learn at your own pace and convenience.
- Minimum Batch Size
- Small batch sizes ensure personalized attention, helping you to grasp complex concepts more effectively.
- Job Preparation with Profile building
- Prepare for the job market with comprehensive profile-building support, including resume crafting, mock interviews, and portfolio development.
- Internships and projects
- Gain practical experience through internships and real-world projects, applying your knowledge in meaningful ways.
- Scholarship Assessments
- Participate in scholarship assessments to help manage the cost of the program, making advanced education in machine learning more accessible.
Course Highlights
If you're preparing to enhance your skills and knowledge. Our courses emphasize foundational learning, practical implementation through projects, and real-world experience, ensuring you are well-prepared for the challenges of your chosen field. From engaging hybrid learning sessions to hands-on internships, our comprehensive approach is designed to build your confidence and transform your expertise into career-ready skills.
Prepare
Foundation courses designed to bring you up to the speed, irrespective of your background.
Learn
Hybrid Learning to engage learners even before the class for effective knowledge transfer.
Implement
Project-Based Learning for confidence building and transferring knowledge into skills.
Experience
Internships & Job Readiness to give real-time experience and prepare for interviews.
Jobs For Machine Learning Engineers
The demand for Machine Learning engineers is every increasing with the introduction of more powerful algorithms to solve business problems. Indian organizations are investing heavily in customized algorithms to suit their business need. Hence, the demand for Machine Learning Engineers is on the rise and it is time for you to position yourself as one. Check the statistics that define the demand and for everything Machine Learning is the essential base.
Contact us
Get in Touch With Us
- Phone number
- 8977944952/53
- hello@cedlearn.com
- DELHI
HYDERABAD
KOCHI
BANGLORE
Business Hours :
Monday - Saturday: 9:00a.m to 8:00p.m
Sunday: With Appointment Only
Send a Message
Write to us. We would catch up with you as soon as we receive your message
scholarship & discounts
We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.