Machine Learning Course & Certification
MindForge Provides 100% Placement Guaranteed IT Courses
Earn certification from EduCADD THINKWorks, India’s most trusted educational institution with over 25+ years of excellence, in collaboration with Mindforge and the National Skill Development Corporation (NSDC). Pursue a high-paying career in Machine Learning with Mindforge Infotech’s new Machine Learning Course and gain a competitive edge in the job market
The Machine Learning Course is designed to introduce participants to the core concepts and techniques used in building intelligent systems that learn from data. This course covers key topics such as supervised and unsupervised learning, regression, classification, clustering, and decision trees, along with advanced methods like neural networks and deep learning. Students will learn how to use popular machine learning libraries like Scikit-learn, TensorFlow, and Keras, and apply algorithms to real-world datasets. Through hands-on projects, participants will gain practical experience in building predictive models and deploying machine learning solutions in various domains.
In addition to the technical aspects, the course emphasizes understanding the ethical considerations and best practices for model evaluation, tuning, and interpretation. By the end of the course, students will have a strong foundation in machine learning, enabling them to solve complex problems using data-driven approaches. This training prepares individuals for careers in data science, AI development, and analytics, offering valuable skills in industries like finance, healthcare, marketing, and technology, where machine learning is increasingly critical for innovation and decision-making.
Machine Learning curriculum
- Overview of Machine Learning
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Key Concepts: Features, Labels, Training, Testing, and Validation
- Applications of Machine Learning in Various Industries
- Tools & Libraries: Python, Scikit-learn, TensorFlow
- Introduction to Python and its Libraries (NumPy, Pandas, Matplotlib)
- Data Structures and Algorithms for Machine Learning
- Data Preprocessing: Handling Missing Values, Normalization, and Feature Engineering
- Exploratory Data Analysis (EDA) with Python
- Linear Regression: Simple and Multiple Linear Regression
- Logistic Regression for Classification
- Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, ROC, and AUC
- Decision Trees: Classification and Regression Trees (CART)
- K-Nearest Neighbors (KNN)
- Support Vector Machines (SVM)
- Hands-on Projects: Predicting House Prices, Customer Churn Prediction
- Bagging and Boosting Techniques
- Random Forest
- AdaBoost
- Gradient Boosting (GBM, XGBoost, LightGBM)
- Model Tuning: Hyperparameter Tuning, Cross-Validation
- Stacking and Blending
- Hands-on Projects: Predicting Loan Defaults using Ensemble Models
- Introduction to Neural Networks
- Activation Functions, Forward and Backpropagation
- Deep Learning Frameworks: TensorFlow and Keras
- Convolutional Neural Networks (CNNs) for Image Processing
- Recurrent Neural Networks (RNNs) and LSTMs for Time Series Data
- Hands-on Projects: Image Classification, Sentiment Analysis
- Introduction to NLP: Text Preprocessing, Tokenization, Lemmatization
- Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF)
- Word Embeddings: Word2Vec, GloVe
- Text Classification with Machine Learning and Deep Learning Models
- Hands-on Projects: Spam Detection, Sentiment Analysis on Social Media
- Introduction to Reinforcement Learning
- Markov Decision Process (MDP)
- Q-Learning and Deep Q-Learning
- Applications of Reinforcement Learning
- Model Export and Deployment Techniques
- Using Flask or Django for Web App Integration
- Introduction to Cloud Platforms for Machine Learning: AWS, Google Cloud, Azure
- Deploying Models on the Cloud
- Hands-on Project: Deploying a Machine Learning Model
- Choose a real-world machine learning problem
- Apply the entire machine learning pipeline: Data collection, preprocessing, modeling, evaluation, and deployment
- Example Capstone Projects:
- Predictive Maintenance for Manufacturing
- Fraud Detection in Financial Transactions
- Recommender System for E-commerce
- Bias and Fairness in Machine Learning Models
- Interpretability of Machine Learning Models
- Ethical Concerns and Data Privacy Issues
- Ensuring Robustness and Security of Models
Industry Recognized Certification
MindForge Infotech
Machine Learning
Career Opportunities After Machine Learning Training
As a Machine Learning Engineer, you’ll be responsible for designing and implementing machine learning models that can learn from data and make predictions or decisions. This role involves working with algorithms, big data, and deployment pipelines. Machine Learning Engineers are highly sought after in industries like technology, finance, healthcare, and e-commerce.
₹ 3L – ₹ 12LPer AnnumHiring Companies
AI Engineers focus on creating intelligent systems and applications that mimic human learning and reasoning. They work on developing models for artificial intelligence (AI), including natural language processing (NLP), computer vision, and speech recognition. AI Engineers are instrumental in advancing technologies in sectors like robotics, autonomous vehicles, and smart assistants.
₹ 2L – ₹ 18.4LPer AnnumHiring Companies
With a background in machine learning, Data Analysts can leverage predictive models to enhance their analysis capabilities. They use machine learning algorithms to forecast trends, automate data processing, and provide deeper insights for businesses. This role is key in data-driven decision-making and is essential in industries like marketing, finance, and operations.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
Robotics Engineers use machine learning to enable robots to adapt and learn from their environment. This role is pivotal in industries such as manufacturing, healthcare, and autonomous systems. Machine learning allows robots to improve their performance over time, making them more efficient and responsive to changes.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
Specializing in deep learning, a branch of machine learning that uses neural networks, Deep Learning Specialists work on advanced projects such as image recognition, natural language processing, and autonomous systems. Their expertise is highly valued in sectors like healthcare, automotive, and artificial intelligence research.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
Global Leaders In Training
MindForge Infotech is in association with EduCADD & ThinkWorks Infotech, pioneers in skill-based learning for over 2 decades as a software training institute. MindForge is an idea derived with a vision to make quality Tech skill-oriented education available and affordable to every job aspiring youth of the nation. MindForge vision is implemented by relentlessly staying up with latest technology trends across the education value chain covering Grooming, Assessment, Industry ready skills and Soft skills to match requirements of industry today.
Our Amenities:
- Free Demo Lecture
- Unlimited Placement Assistance
- Study Materials
- Training from Industry Expert
- Assignment
- Mock Interviews
- Live Projects
- Global Certification
- Guidance & Preparation
- Personality Development Seminars
- Industry Guidance
- Free Online Workshops
- Career Guidance
- Workshop Guidance to crack Interviews
Related Courses
Python
- 500+ Students trained
- Live Project Training
- Classroom / Live Online Training
- Assured Placement Support
Artificial Intelligence (AI)
- 500+ Students trained
- Live Projects / Internship
- Classroom / Live Online Training
- Assured Placement Support
AWS
- 500+ Students trained
- Live Projects / Internship
- Classroom / Live Online Training
- Assured Placement Support
Power BI
- 500+ Students trained
- Live Projects / Internship
- Classroom / Live Online Training
- Assured Placement Support
Why Choose Mindforge Infotech
Industry-Expert Instructors
Learn from seasoned professionals with real-world experience in the IT industry.
Flexible Learning Options
Choose between online and in-person classes to suit your schedule and learning preferences.
Hands-On Training
Gain practical skills through hands-on projects and real-world case studies.
Certification Preparation
Prepare for industry-recognized certifications that enhance your employability and career prospects.
Job Placement Assistance
Benefit from dedicated career services, including job placement support and internship opportunities.
Lifetime Access to Materials
Enjoy lifetime access to course materials, ensuring you can revisit and refresh your knowledge anytime.
Machine Learning
🛠️ Master the Art of Full Stack Development: Dive into the dynamic world of full stack development with our comprehensive course designed to equip you with the skills and knowledge needed to build seamless, high-performance applications from scratch.
🌐 Unlock a World of Opportunities: Full stack developers are in high demand across industries. With our course, you’ll gain the expertise sought after by top employers, opening doors to lucrative career opportunities as a developer, software engineer, or tech lead.
🏗️ Become a Digital Architect: Learn to create robust and scalable web applications by mastering both frontend and backend development. From designing intuitive user interfaces to building efficient server-side logic, you’ll emerge as a versatile and highly skilled developer.
💻 Hands-On Learning, Real-World Experience: Engage in practical exercises, projects, and case studies that mirror real-world development scenarios. Gain hands-on experience with industry-standard tools and technologies under the guidance of seasoned full stack development experts.
🚀 Stay Ahead in the Tech Landscape: In the fast-evolving world of technology, staying ahead is crucial. Our course is continuously updated to keep pace with the latest trends and advancements, ensuring you’re armed with the knowledge and skills needed to excel in the field.
🎓 Industry-Recognized Certification: Upon completion of the course, earn a prestigious industry-recognized certification that validates your expertise in full stack development. Stand out in the job market and showcase your commitment to excellence and continuous learning.
Our Alumini Speaks
Best Machine Learning Training in India
Best Machine learning Training in India
Our Students Placed In
FAQ
We offer a variety of IT training courses, including web development, data science, cybersecurity, cloud computing, and more.
You can enroll in a course by visiting our website, selecting your desired course, and following the registration process. For assistance, you can contact our admissions team.
Prerequisites vary by course. Some courses require basic computer knowledge, while others may require specific programming skills. Check the course details for specific requirements.
Yes, we provide a certificate of completion for all our courses. Additionally, some courses prepare you for industry-recognized certifications.
Yes, we offer both online and in-person classes to accommodate different learning preferences.
Course fees vary depending on the program. You can find detailed pricing information on our website under each course description.
Yes, we have a dedicated career services team that provides job placement assistance, resume building workshops, and interview preparation.
Course durations vary. Some are short-term, lasting a few weeks, while others are longer and can span several months. Check the course details for specific timelines.
Yes, we offer flexible payment plans and EMI options for eligible students. Please contact our financial aid office for more details.
