To enroll in this course, learners should have:

• A high school diploma or an undergraduate degree
• A basic understanding of statistics and college-level mathematics
• Familiarity with Python programming is recommended

Before diving into this Machine Learning course, it is advisable to complete foundational modules such as:

• Python for Data Science
• Mathematics Refresher
• Essential Statistics for Data Science

• Supervised and Unsupervised Learning Techniques
• Linear and Logistic Regression Models
• K-Means Clustering for Pattern Discovery
• Decision Trees for Predictive Modeling
• Ensemble Methods: Boosting and Bagging
• Time Series Forecasting and Analysis
• Kernel Support Vector Machines (SVM)
• Naive Bayes Classification
• Random Forest Algorithms
• Introduction to Deep Learning Concepts

The global Machine Learning market is projected to reach USD 419.94 billion by 2030, growing at a CAGR of 34.8%, showcasing the rapid integration of ML technologies across industries.

Machine Learning Engineer
 Annual Salary Range:

• Minimum: $71K
• Average: $110K
• Maximum: $200K

AI Engineer
Annual Salary Range:

• Minimum: $67K
• Average: $105K
• Maximum: $205K

Conduct exploratory data analysis and apply clustering techniques to group songs into meaningful cohorts based on shared characteristics and patterns.

This online Machine Learning course provides a comprehensive introduction to core ML concepts and techniques. It equips you with the necessary knowledge to pursue a career as a Machine Learning Engineer. You'll gain hands-on experience in key areas such as regression, classification, clustering, and time series modeling, along with earning a Nvidya Machine Learning certificate to validate your skills.

 

To unlock your certificate, you must complete the following:
For Online Classroom Learning:
• Attend one full batch of instructor-led Machine Learning training
• Submit at least one project for evaluation
For Online Self-Learning:
• Complete 85% of the course content
• Submit at least one project for evaluation

 

Yes, the course includes one practice test to help you prepare for the certification exam. You can take the Machine Learning Multiple Choice Questions - Free Practice Test to get a feel for the types of questions you’ll encounter during the course.

The Machine Learning using Python course introduces you to core ML concepts using Python’s powerful libraries such as Scikit-learn, TensorFlow, and Keras. Offered by Nvidya, the course covers topics like data preprocessing, model building, and evaluation, with real-world applications in classification, regression, clustering, and neural networks. You’ll learn how to implement algorithms, manage datasets, and fine-tune models—ideal for anyone looking to enter the fields of AI and data science.

This program delivers hands-on experience with key Python libraries, empowering you to build and deploy ML models with confidence. You'll develop the ability to interpret and analyze complex datasets—skills that are in high demand. Nvidya’s expertly designed curriculum ensures a deep understanding of ML principles and prepares you for high-impact roles across AI and data science.

 

Our trainers are seasoned professionals from the AI and ML industry with a wealth of practical experience. Each trainer is selected through a rigorous process based on their academic credentials, industry expertise, and ability to teach. They simplify complex topics, helping learners grasp both theoretical concepts and hands-on practices effectively.

 

Enrolling is simple and involves three steps:
1. Click on "Enroll Now" and fill out the application form.
2. Make a secure payment using Visa, MasterCard, American Express, Diner’s Club, or PayPal.
3. Once your payment is confirmed, you'll receive a confirmation email with access details to the course.

In India, professionals with Machine Learning and Python expertise earn an average salary of INR 17.1 LPA, depending on experience and job role.

You can pursue roles such as Machine Learning Engineer, Data Scientist, or Data Analyst. You can also specialize in areas like Natural Language Processing (NLP) or Computer Vision. As you gain experience, you can move into senior and leadership roles focused on developing cutting-edge algorithms and AI systems.

 

We offer round-the-clock support through live chat for urgent issues. For other concerns, our dedicated team provides email support and callbacks upon request to assist you at every step of your learning journey.

 

Yes! Python’s simplicity and robust libraries make it an excellent choice for learning machine learning—even for beginners. If you have a basic grasp of programming and statistics, you’ll find the course accessible. Nvidya’s curriculum is built to provide a clear path from basics to advanced ML techniques, with hands-on projects and case studies to reinforce learning.

 

Absolutely. ML with Python opens doors to high-demand, high-paying roles across industries. As AI continues to evolve, professionals with Python-based ML skills are increasingly sought after. The skills you gain in this program are relevant across multiple domains, making it a versatile and future-proof career path.

 

Yes. Nvidya for Business partners with Fortune 500 and mid-sized companies to upskill their workforce with cutting-edge digital capabilities. We provide:
• Role-based learning paths
• Certification courses
• Access to Learning Hub+, our comprehensive learning library with unlimited live classes
Our curriculum consultants tailor solutions to your business needs for effective results.

No worries! With our Flexi-Learning option, you can access recorded sessions of any missed live class on our platform. This ensures you stay on track and meet course requirements without falling behind.