Softlogic Systems Machine Learning Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our Machine Learning Syllabus Covers Python for ML, data preprocessing, supervised & unsupervised learning, model training, evaluation, deep learning basics, and real-world ML projects. Our Machine Learning Course Content helps you learn Machine Learning Step by Step with real-time projects and Interview Preparations.
Machine Learning Course Syllabus
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Syllabus for The Machine Learning Course
Module 1 – Core Java Fundamentals
- Java Programming Language Keywords
- Literals and Ranges of All Primitive
- Data Types
- Array Declaration, Construction, and Initialization
Module 2 – Declarations and Access Control
- Declarations and Modifiers
- Declaration Rules
- Interface Implementation
Module 3 – Object Orientation, Overloading and Overriding, Constructors
- Benefits of Encapsulation
- Overridden and Overloaded Methods
- Constructors and Instantiation
- Legal Return Types
Module 4 – Flow Control, Exceptions, and Assertions
- Writing Code Using if and switch statements
- Writing Code Using Loops
- Handling Exceptions
- Working with the Assertion Mechanism
- Write Java Programs
Module 5 – TestNG
- Setting up TestNG
- Testing with TestNG
- Composing test and test suites
- Generating and analyzing HTML test reports
- Troubleshooting
Module 6 – Machine Learning
- Introducing Machine Learning
- To Automate or Not to Automate?
- Test Automation for Web Applications
- Machine Learning Components
- Supported Browsers
- Flexibility and Extensibility
Module 7 – Machine Learning -IDE
- Introduction
- Installing the IDE
- Opening the IDE
- IDE Features
- Building Test Cases
- Running Test Cases
- Debugging
- Writing a Test Suite
- Executing Machine Learning -IDE Tests on Different Browsers
Module 8 – XPATH
- Understanding of Source files and Target
- XPATH and different techniques
- Using attribute
- Text ()
- Following
Module 9 – Machine Learning
- Introduction
- How Machine Learning Works
- Installation
- Configuring Machine Learning With Eclipse
- Machine Learning RC Vs Machine Learning
- Programming your tests in WebDriver
- Debugging WebDriver test cases
- Troubleshooting
- Handling HTTPS and Security Pop-ups
- Running tests in different browsers
- Handle Alerts / Pop-ups and Multiple Windows using WebDriver
Module 10 – Automation Test Design Considerations
- Introducing Test Design
- What to Test
- Verifying Results
- Choosing a Location Strategy
- UI Mapping
- Handling Errors
- Testing Ajax Applications
- How to debug the test scripts
Module 11 – Handling Test Data
- Reading test data from excel file
- Writing data to excel file
- Reading test configuration data from text file
- Test logging
- Machine Learning Grid Overview
Module 12 – Building Automation Frameworks Using Machine Learning
- What is a Framework
- Types of Frameworks
- Modular framework
- Data Driven framework
- Keyword driven framework
- Hybrid framework
- Use of Framework
- Develop a framework using TestNG/WebDriver
Conclusion
The Machine Learning Course Syllabus above is for college students, people who have just graduated, and those looking for a job. Our Softlogic Systems provides a syllabus about Machine Learning, including Python for ML, data preprocessing, supervised & unsupervised learning, model training, evaluation, deep learning basics, and real-world ML projects. After completing this syllabus, you will do projects, prepare for job interviews, and apply for jobs. By learning step by step, Machine Learning will help students get a job placement. The goal is to make students learn Machine Learning in a way that helps them get a job.
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FAQs
What accreditation will I get once the course is completed?
Upon completion of Softlogic’s training, you will be awarded with globally recognized course completion certificates from Softlogic, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
What does dimensionality reduction involve, and why is it significant?
Dimensionality reduction aims to decrease the number of features in a dataset while retaining as much essential information as possible. Techniques such as Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) are used to simplify models, cut down on computational costs, and address issues like the curse of dimensionality.
How many branches does SLA have?
SLA has a total of two branches in the city, one in Navalur, OMR and another in K.K. Nagar.
What accreditation will I get once the course is completed?
Upon completion of Softlogic’s training, you will be awarded with globally recognized course completion certificates from Softlogic, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
Is it a good choice to begin a career in Machine Learning?
Yes. Machine Learning jobs are booming in the job market where you can find suitable jobs as fresher and more experienced professionals. It is better to get equipped with the right skills before applying for ML jobs in any leading Machine Learning Training Institute in Chennai like Softlogic Systems.
How does cross-validation enhance the evaluation of machine learning models?
Cross-validation improves model evaluation by dividing the data into multiple subsets or folds. The model is trained on some of these folds and tested on the others. This process is repeated several times, and the results are averaged, providing a more accurate assessment of the model’s performance.
What is the specialty of SLA’s OMR branch?
SLA’s OMR branch has plenty of opportunity for candidate’s internship and placements as it is located in the hub of IT companies in OMR.
Is it a good choice to begin a career in Machine Learning?
Yes. Machine Learning jobs are booming in the job market where you can find suitable jobs as fresher and more experienced professionals. It is better to get equipped with the right skills before applying for ML jobs in any leading Machine Learning Training Institute in Chennai like Softlogic Systems.
What are activation functions in neural networks, and what role do they play?
Activation functions introduce non-linearity into neural networks, enabling them to learn and model complex patterns. Examples include ReLU (Rectified Linear Unit), Sigmoid, and Tanh. These functions decide whether a neuron should be activated, helping the network capture a broad range of functions.
Can I get a mere learning experience as classroom training for Online ML Training Program?
Yes. Softlogic ensures a better learning experience for the learners who wanted to learn Online Machine Learning Training in Chennai. You can learn with the same coursework as a classroom session that contains a comprehensive ML Course curriculum, case studies, practical sessions, and project implementations on real-time projects.
Can I get a mere learning experience as classroom training for Online ML Training Program?
Yes. Softlogic ensures a better learning experience for the learners who wanted to learn Online Machine Learning Training Course in Chennai. You can learn with the same coursework as a classroom session that contains a comprehensive ML Course curriculum, case studies, practical sessions, and project implementations on real-time projects.
Does SLA support EMI options?
Yes, SLA has EMI options with 0% interest.
How about the job market for Machine Learning Technology?
Machine Learning is the hot technology that creates tremendous job prospects for the learners who have gained the right skills and hands-on exposure along with industry-accredited certification. Top companies like Amazon, Accenture, TCS, CTS, HCL, and Wipro are continuously hiring the right talents to perform various ML jobs. Equip yourself with our Machine Learning Certification Course in Chennai at Softlogic to achieve your career goal faster.
How about the job market for Machine Learning Technology?
Machine Learning is the hot technology that creates tremendous job prospects for the learners who have gained the right skills and hands-on exposure along with industry-accredited certification. Top companies like Amazon, Accenture, TCS, CTS, HCL, and Wipro are continuously hiring the right talents to perform various ML jobs. Equip yourself with our Machine Learning Certification Course in Chennai at Softlogic to achieve your career goal faster.
Does SLA have experienced trainers for Machine Learning Course?
Yes, SLA’s trainers have plenty of experience in IT and in teaching.
Can you explain how decision trees operate, including their main benefits and drawbacks?
Decision trees operate by partitioning data into subsets based on feature values, forming a tree-like structure of decisions and outcomes. They are valued for their interpretability and ease of use but can suffer from overfitting and can be sensitive to slight changes in the data.
What is the purpose of regularization, and what are some common methods?
Regularization is used to prevent overfitting by adding a penalty to the complexity of the model. Common methods include L1 regularization (Lasso), which promotes sparsity by setting some weights to zero, and L2 regularization (Ridge), which penalizes large weights without necessarily eliminating them.
How does SLA deal with student issues?
SLA has a designated HR personnel to deal with student issues.
What are the concepts that will be covered in ML Training at Softlogic?
Our Machine Learning Training Program in Chennai covers basic to advanced concepts like supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, use cases of ML, NLP, audio and voice recognition, image recognition, virtual assistance, linear regression, logistic regression, ML algorithms, and so on. At Softlogic, you can achieve more through our Placement & Job Support ML Training Program.
What are the concepts that will be covered in ML Training at Softlogic?
Our Machine Learning Training Program in Chennai covers basic to advanced concepts like supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, use cases of ML, NLP, audio and voice recognition, image recognition, virtual assistance, linear regression, logistic regression, ML algorithms, and so on. At Softlogic, you can achieve more through our Placement & Job Support ML Training Program.





