— pantech elearning —
Machine Learning
(Matlab)
Masterclass
☑️ 10+ Projects!
☑️ 4+ Core Concepts!
☑️ Industry-Based Curriculum
☑️ 3 Months Intensive Training Program
☑️ Practice with Assignments
☑️ Get Top 100 Interview Question with Answer
Course Benefits
4+ Core Concepts
concepts are essential for understanding and analyzing the subject matter in depth.
Hands-on Projects
Tasks that involve practical, experiential learning by real-world scenarios.
Interactive Sessions
Participant share their perspectives, ask questions, and learn experiences.
Community Support
Assistance, resources, and services provided by groups within a community
Downloadable Contents
These contents can be accessed offline and provide users with various forms of information
E-Certificate
A Digital recognition of an individual's accomplishment for completion course.
Industry standard
Technical standard specifications that define the best practices
Job opportunities
Openings that individuals can pursue to secure paid work or career advancement.
EVERYTHING YOU NEED TO
Become a Successful ML(Matlab) Master ?
Machine Learning
Image Predictions
ML Implementation
Learning Path
Matlab Concepts
Essential Matlab concepts for AI - MATLAB Fundamentals & Tools Box, and functions
GUI , Graphs & Plots In MATLAB
GUI and Commands , Control Statements & Loops in MATLAB
Import & Pre Process Data
prepation Process of Data to implement Algoritums
Data Analysis
Techniques and Data analysis with Image Processing
Machine Learning
Machine learning with Python Supervised, Unsupervised Reinforcement Learning
Project Based Learning
Hands on Learning
80%
Industry Relevant Skills
Live Projects
100%
Industry Based Learning Process
Course Curriculum
Course Curriculum (45 Hrs)
- Introduction to AI & Its Application
- MATLAB Fundamentals & Tools Box
- GUI, Graphs & Plots in MATLAB
- Graphical User Interface ( GUI – I ) in MATLAB
- Graphical User Interface ( GUI – II ) in MATLAB
- Commands, Control Statements & Loops in MATLAB
- Import & Pre Process Data
- Prediction using Linear Regression
- Logical Classification using Logistic Regression
- Object Classification using SVM
- Predictions using Naive Bayes
- Finding Nearest Neighbor using KNN
- Data Clustering using K means
- Random Forest Application
- Dimensionality Reduction Algorithm
- Regression using GBM
- Data Analysis using XG Boost
- Prediction using Light BGM
- Prediction using CATBOOST
- Image Labelling Techniques
- NN Based Image Classification
- Image Classification – KNN
- Image Classification – SVM
- Project Demo – I
- Project Demo – II
Real-Time Projects
Numbers of trusT
Pantech E-Learning
0
+
Expierience
Learners From Pantech
0
+
Learners from all over india
Core Techologies
0
Software - Electrical - Electronics -Automations
Industry-recognized Certifications
Our Learners Works At
Assignments Submited by Community Members
4.5
Nivethida A
Its a very effective platform for the beginners, who wants to implent their real time proposals into models. Learnt a lot along with hands on training, which made the session both intresting and interactive 🔥🔥🔥
Pooja Devadiga
Really enjoyed a lot and learnt many new things. It was an amazing experience to learn more about AI Image Processing concept. Once again, I thank you for sharing informative knowledge with us. 🔥✌👌
Ajay Yadav
Excellent education, learning and industry oriented knowledge is shared by Pantech eLearning. Resource speakers are giving their best every day during the whole program/Internship. They deserve a lots of appreciation. A very big thanks to all the Pantech eLearning Team. 🔥🙏
Hemanth Korada
It's really helpful .. Nice interaction session of Datascience program for my carrier build and growth.. Thank you pantech for making me a part of this journey and its really awesome sessions everyday with different topics... 🙏🙏
Why | How | What?
Frequently Asked Questions
Machine Learning (Matlab) Masterclass are educational programs that teach individuals about the concepts, techniques, and applications of artificial intelligence (AI) and machine learning (ML). These courses cover a variety of topics, including algorithms, data analysis, natural language processing, computer vision, and robotics.
Anyone with an interest in Machine Learning (Matlab) can take these courses, including students, professionals, and hobbyists. Some courses may require previous knowledge of programming or computer science, while others may be designed for beginners.
By taking Machine Learning (Matlab) Masterclass, you can learn how to develop AI and ML applications, implement algorithms, analyze data, and design intelligent systems. You can also learn about the ethical and societal implications of AI, as well as how to integrate AI into various industries and fields.
The prerequisites for taking A Machine Learning (Matlab) Masterclass may vary depending on the course and the level of difficulty. However, some courses may require knowledge of programming languages such as Matlab, calculus, linear algebra, and statistics.
The length of time it takes to complete a Machine Learning (Matlab) Masterclass depends on the course’s level of difficulty and the amount of time you can dedicate to the course. Some courses may take a few weeks to complete, while others may take several months.
The cost of taking a Machine Learning (Matlab) Masterclass varies depending on the course and the platform. Some courses are free, while others may cost several hundred or thousand dollars. Some platforms offer financial aid and scholarships to eligible students.
Yes, many courses offer certificates of completion that you can use to demonstrate your skills and knowledge to potential employers or for personal satisfaction. Some courses may also offer industry-recognized certifications.
Yes, many employers recognize the value of Machine Learning (Matlab) Masterclass courses and consider them a valuable addition to a candidate’s resume. Completing a Machine Learning (Matlab) Masterclass can demonstrate your commitment to learning and developing new skills, which can help you stand out in a competitive job market.