Machine Learning Full Course | Learn ML from Basics to Advanced with Certification

Enroll in WebAsha's Machine Learning Full Course and master ML algorithms, Python, deep learning, and AI. Get hands-on projects, expert guidance & certification.

  Artificial Intelligence & Machine Learning   May 5, 2025   12  Add to Reading List
Machine Learning Full Course | Learn ML from Basics to Advanced with Certification

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Machine Learning (ML) is no longer just a buzzword. In 2025, it is a foundational technology driving innovation in industries ranging from finance and healthcare to e-commerce and automation. If you're looking to break into the world of AI and data science, enrolling in a machine learning full course is your first and most crucial step.

Whether you're a student, working professional, or tech enthusiast, WebAsha Technologies offers a comprehensive machine learning full course that transforms beginners into job-ready ML experts. With live projects, expert mentors, and placement assistance, this program is your gateway into the future of tech.

What Is a Machine Learning Full Course?

A machine learning full course covers everything from basic concepts to complex algorithm development and real-world model deployment. It equips learners with the skills required to build predictive models, automate systems, and extract valuable insights from large datasets.

Key Features of a Full ML Course:

  • Covers theory + practical projects

  • Includes supervised, unsupervised & reinforcement learning

  • Hands-on with tools like Python, Scikit-Learn, TensorFlow, and more

  • Real-time capstone projects

  • Certification & placement support

Who Should Enroll?

This course is designed for:

  • Students & freshers aspiring to enter AI/ML

  • Working professionals in IT, analytics, or software domains

  • Entrepreneurs looking to implement ML solutions

  • Non-tech background learners with analytical thinking

Machine Learning Full Course Syllabus

Here’s the full course structure offered by WebAsha Technologies:

Module Topics Covered
Introduction to ML What is ML, Applications, Types of ML, AI vs ML vs DL
Python Programming for ML Python basics, data types, loops, functions, NumPy, Pandas, Matplotlib
Data Preprocessing & EDA Missing value treatment, scaling, encoding, outliers, visualizations
Supervised Learning Linear Regression, Logistic Regression, Decision Trees, Random Forests
Unsupervised Learning Clustering (K-means, Hierarchical), Dimensionality Reduction (PCA)
Model Evaluation & Selection Cross-validation, accuracy, precision, recall, F1-score, confusion matrix
Deep Learning Basics Neural networks, perceptron, activation functions
Natural Language Processing (NLP) Text cleaning, tokenization, sentiment analysis, vectorization
Time Series Forecasting ARIMA, Exponential Smoothing, Seasonal Decomposition
Model Deployment Saving/loading models, Flask API, deploying on cloud (AWS/GCP)
Capstone Project Full ML lifecycle project solving a real business problem
Interview Preparation Resume review, mock interviews, real-time scenarios, coding challenges

Hands-On Projects Included

WebAsha’s ML course is highly project-driven. Sample projects include:

  • Loan default prediction

  • Customer churn analysis

  • Spam detection system

  • Product recommendation engine

  • Stock price forecasting

These projects ensure you graduate with a strong portfolio that impresses recruiters.

Why Choose WebAsha for ML Training?

Here’s why WebAsha Technologies is one of the top choices for machine learning full course:

  • Industry Expert Mentors – Learn from ML professionals working with top MNCs.

  • Flexible Learning – Online + Classroom training in Pune.

  • 100% Placement Support – Resume building, job referrals, and mock interviews.

  • Recognized Certification – Boost your resume with an industry-aligned certificate.

  • Free Doubt Clearing & Backup Sessions – Never miss learning even if you miss a class.

What Will You Achieve After the Course?

After completing this full machine learning course, you will be able to:

  • Understand and implement ML algorithms from scratch.

  • Work on real-life datasets and business problems.

  • Build and deploy end-to-end ML models.

  • Clear technical interviews confidently.

  • Start a career in AI, ML, or Data Science.

Locations and Mode

  • Location: WebAsha Technologies, Pune

  • Mode: Online & Classroom (Hybrid available)

  • Course Duration: 2.5 to 3 Months

  • Placement Support: 100% Assistance with Interview Scheduling

How to Enroll?

Ready to begin your machine learning journey? Visit the official Machine Learning Full Course page or call WebAsha directly to speak to a course advisor.

FAQs 

What is a Machine Learning full course?

A machine learning full course covers foundational to advanced concepts in ML, including supervised and unsupervised learning, neural networks, and model deployment.

Who can enroll in a machine learning course?

Students, IT professionals, engineers, and data science aspirants with basic programming knowledge can enroll in the course.

Is WebAsha’s machine learning course beginner-friendly?

Yes, the course is designed for both beginners and professionals, starting from basics to advanced topics.

What tools and languages are taught in this course?

Python, TensorFlow, Scikit-learn, NumPy, Pandas, and Matplotlib are commonly covered.

Do I need prior coding experience for this course?

Basic knowledge of Python is recommended, but the course includes introductory programming modules for beginners.

Is the course available online?

Yes, WebAsha offers both classroom and online training for flexibility.

What is the duration of the full machine learning course?

The course typically lasts 3 to 6 months, depending on the learning mode and pace.

Does WebAsha provide certification for this course?

Yes, learners receive an industry-recognized certificate upon successful course completion.

Is there placement support after course completion?

Yes, WebAsha provides placement assistance and guidance for career opportunities.

How is machine learning used in real-world applications?

ML is used in fraud detection, recommendation engines, speech recognition, autonomous vehicles, and medical diagnosis.

Can I get a job after completing the course?

Yes, the course prepares you for roles such as ML engineer, data scientist, AI analyst, and data analyst.

What projects will I work on during the course?

You’ll build projects in healthcare, e-commerce, finance, and automation to gain practical experience.

Is there any exam for certification?

Yes, a final assessment or capstone project is typically required to qualify for the certificate.

What’s the average salary of a machine learning engineer in India?

Entry-level ML engineers earn around ₹6-8 LPA, with experienced professionals earning over ₹20 LPA.

Does the course include deep learning and AI?

Yes, advanced modules cover deep learning, neural networks, and artificial intelligence topics.

What are supervised and unsupervised learning?

Supervised learning uses labeled data, while unsupervised learning identifies patterns in unlabeled data.

Is this course useful for data science careers?

Absolutely. ML is a core part of data science and essential for becoming a data scientist.

Can non-technical graduates join this course?

Yes, provided they are willing to learn programming and mathematical concepts.

Is the course updated with the latest technologies?

Yes, WebAsha ensures that the curriculum stays current with industry demands and advancements.

Do I need a high-end system for this course?

A mid-range system with a good processor and RAM is sufficient for most modules and tools.

Are live classes available?

Yes, both live instructor-led classes and recorded sessions are available.

Can I attend a demo session before enrolling?

Yes, WebAsha offers demo classes for interested candidates.

How is the course different from free online tutorials?

WebAsha’s course includes structured learning, mentorship, projects, certification, and placement support.

What industries are hiring ML professionals?

Healthcare, finance, e-commerce, IT services, manufacturing, and ed-tech sectors actively hire ML experts.

Do you offer EMI or installment payment options?

Yes, flexible payment options are available for students.

What kind of support is available during the course?

You’ll get dedicated mentor support, doubt-clearing sessions, and community access.

Will I get access to study material?

Yes, downloadable study materials, coding notebooks, and video resources are provided.

Can this course help me switch careers to AI?

Definitely. The course is designed for career transitions into AI and ML roles.

What is the course fee for WebAsha’s ML program?

Fees vary based on mode and duration—contact WebAsha directly for updated pricing.

Where is WebAsha located in Pune?

WebAsha’s Pune center is located at a prime location—visit their website or contact them for exact directions.

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