Machine Learning – ML

Master Machine Learning algorithms and predictive modeling using Python to build intelligent data-driven solutions for real-world applications.
550+ Trainers
250+ course
150+ Branches

Course Overview

  • Next Batch:New batch starts every 7th days. Early registration is recommended.
  • Course Duration:1.5 Months (Including Lab Work, Internship, and Project)
  • Eligibility:
    • Undergraduates
    • Graduates
    • Job Seekers
    • Working Professionals
  • Tools:
      5
  • Modes of Training: Online Classes/Offline Training (at selected centers)
  • Projects:Available – Real-world ML applications and projects

₹5.0 – ₹11.0 LPA

Average CTC

30,000+

Naukri, LinkedIn, Glassdoor

4+

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Machine Learning Certification Training Course

Overview of Machine Learning Certification Training Course

The Machine Learning Certification Training Course is designed for data enthusiasts, software engineers, and professionals who want to build smart applications using AI and ML techniques. The course provides in-depth training on algorithms, model evaluation, and data pre-processing.

Through real-world projects and guided exercises, you’ll gain practical experience in predictive modeling, classification, and clustering. By the end of the program, you’ll be ready to earn your Machine Learning Professional Certification and advance your career in AI, Data Science, or Analytics.

What You’ll Learn From Course

Understand Machine Learning concepts, algorithms, and real-world use cases.
Train and evaluate ML models using Scikit-Learn and TensorFlow.
Perform data cleaning, feature selection, and model optimization.
Visualize and interpret ML results using Power BI and Tableau.
Build predictive analytics models for business and AI applications.
Prepare for the Machine Learning Certification Exam with project-based learning.

Who Should Take this Course

Undergraduates
Graduates
Job Seekers
Working Professionals

Job Roles For Course

Machine Learning Engineer
Data Scientist
Predictive Analyst
Data Analyst
Research Scientist
AI Developer

Tools & Technologies Covered In Course

Python (NumPy, Pandas, Matplotlib, Seaborn)
Scikit-Learn (Machine Learning Library)
TensorFlow / Keras
Jupyter Notebook / Google Colab
Power BI / Tableau (for visualization and reporting)

What’s included ?

Theory doesn’t help anyone in professional life, professional Courses are better learnt by experimenting.

Certifications like Microsoft, Google, HP, Cisco, EC-Council make a huge difference in placement.

Contents are based upon the latest trends in IT industry nd as per the recommendations of IT Guys.

Good opportunities need to spread geographically, so is Samyak for the benefit of professional and job seekers.

All courses are as per industry needs and with projects/ examples, which make Samyak’s approach job oriented.

Once the course is completed from Samyak, there is a dedicated team to guide for interview and placements.

Machine Learning Certification Training Course Syllabus

1.Introduction to Machine Learning

  • What is ML?
  • Types of Machine Learning
  • Real-life ML applications

2. Python for ML

  • Python Basics
  • Numpy, Pandas, Matplotlib
  • Data Preprocessing

3. Supervised Learning

  • Regression Techniques
  • Classification Algorithms
  • Model Evaluation

4. Unsupervised Learning

  • Clustering Algorithms
  • Dimensionality Reduction
  • Anomaly Detection

5. Neural Networks & Deep Learning

  • Basics of Neural Networks
  • CNNs and RNNs
  • TensorFlow/Keras

6. Advanced Topics

  • Ensemble Learning
  • Recommendation Systems
  • Time Series Forecasting

7. Final Project & Internship

  • Capstone ML Project
  • Industry-based Internship

Key Features

  • Beginner to advanced ML modules
  • Hands-on coding with real-world datasets
  • Tools: Scikit-learn, TensorFlow, Pandas
  • Case study-based learning approach
  • Interview prep and resume guidance

Job Roles

  • Machine Learning Engineer
  • Data Scientist
  • Predictive Analyst
  • Research Scientist
  • AI Developer

Program Highlights

  • Gain hands-on experience by working on predictive modeling, classification, and clustering problems using real datasets and Python libraries.
  • Develop an end-to-end machine learning model and deploy it in a simulated business environment for practical exposure.
  • Stay ahead with trending ML algorithms and practical business applications used in top tech companies.
  • Get resume reviews, interview coaching, and placement support to start your career in Machine Learning and AI.
  • Access one-on-one guidance from experienced machine learning professionals for doubt resolution and career tips.

What is an Ultimate Career Choice?

Massive Market
Massive Market

Learn skills that open doors to vast, growing markets worldwide, constantly increasing demand across industries.

High-Paying Jobs
High-Paying Jobs

Acquire in-demand expertise to command top salaries, and accelerate long-term financial growth .

Future-Proof Career
Future-Proof Career

Build adaptable, technology that keep your career relevant, and valuable in changing times.

Entrepreneurial Path
Entrepreneurial Path

Gain practical tools, mindset and networks needed to launch ventures, create sustainable businesses.

Global Impact
Global Impact

Develop solutions and leadership that solve real-world problems, positively impacting communities.

Large Community
Large Community

Join a diverse, supportive community of learners, mentorship, opportunities, and lasting connections.

Be in the spotlight by getting certified!

A detailed overview of the course, including key topics, objectives, and module sequence.

Google Certificate (included)

Google Certificate (included)

Internationally recognized certificate for professional achievement.

Samyak Certificate (included)

Samyak Certificate (included)

ISO 9001:2008 certified training recognized globally.

NSDC Certificate (included)

NSDC Certificate (included)

Govt of India-backed certification enhancing employability.

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