Certificate Course in Machine Learning
Prepare yourself for the era of Intelligent Machines by learning in-demand 21st-century skills such as training a machine to predict & analyze the results using various machine learning algorithms with model deployment
4 Months
Duration
100 Hours
Online Content + Live Session
Online
Mode
Live Sessions
By Industry Experts
--
Batch Starts
Program Highlights
Designed for Professionals and Passouts
100+ Hours of Content
8 + Case Studies
Practical Capstone Project
25+ Mentorship Sessions from Industry Experts
Profile Building Workshops
Placement Assistance
Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
Why Join Us
Prepare yourself for the era of Intelligent Machines by learning in-demand 21st-century skills such as training a machine to predict & analyze the results using various machine learning algorithms with model deployment
Who Should Join The Course?
Students & Professionals who
- Are total beginner in Machine Learning
- Would like to enhance his/her career in ML
- Willing to resolve real-life problems as well as to develop advanced applications
Hex-N-Bit Advantage
Self Paced eLearning Content
A highly quality & extremely informative self-paced learning content that will help student to build technical skill.
Live Sessions
An interactive live session with highly experience mentors in order to make the core technical concepts crystal clear & addressing any technical doubts.
Labs & Assignments
Competitive assignment which will test your skill & learning
Quizes
A time bound Quiz that will help you to manage the pressure while chasing any deadline for product development
Mini Projects
Some interesting & engaging projects will be assigned to students once in a month where they have to work on real time case study. These projects will be graded by the mentors with some suggestions(if required)
Industry Exposure
Regular Mentorship from Industry Experts
Capstone Projects
Finally , during the last month of their certification course, they will have to work on one big and highly extensive academic project that is undertaken by student as a final task in their certificate programs. Capstone project will be done under the supervision of mentor.
Certification
Once the student submit the capstone project then the candidate would be liable to get the certificate.
Syllabus
- Software & Development Tools
- Getting Started with Python Language
- Variables
- Data Types
- Numbers
- Casting
- Strings
- Boolean
- Operators
- Lists
- Tuples
- Sets
- Dictionaries
- Loops & Control Flow
- Functions & Modules
- Classes & Objects
- Python Inheritance
- Files Handling
- Numpy
- Pandas
- Matplotlib
- Fundamentals of Probability
- Fundamentals of Statistics
- EDA Basics
- Descriptive Analysis
- 5 Point Summary
- Data Visualization
- Dealing with Missing Data
- Encoding Techniques
- Normalization & Scaling
- What is Machine Learning?
- Applications
- Different Types of Learning
- Linear Regression
- Logistic Regression
- Naive Bayes
- K Nearest Neighbors (KNN)
- Support Vector Machine (SVM)
- Model Performance AUC & ROC
- Decision Tress
- Random Forest
- What are Ensemble Techniques
- Bagging
- Boosting
- Stacking
- Other Classifiers
- Introduction to Clustering
- Types of Clustering & its Applications
- Hierarchical Clustering
- K Means Clustering
- Principal Component Analysis (PCA)
- Regularization
- Feature Engineering
- Cross Validation
- Sampling
- Machine Learning Pipelining Concepts
- Hyper Parameter Tuning
- Model Performance Measure
- Introduction to Flask
- Introduction to Web Programming
- Implementation of Flask over AWS
Hours of Content + Live Session
Case Studies & Projects
Live Sessions
Assignments
Tools & Libraries
Capstone Project
Fill the form to download course outline
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Enroll
Benefits you will take away
- Gain understanding of Machine Learning Techniques
- Getting familiar with most frequently used Algorithms for different type of tasks.
- Video lectures for hands on session and typical applications based on that.
- Guidance for developing the project based learning.
- Duration: 4 Months
- Centralized teams
- Live Sessions
- Project Support
- Industry mentorship