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Machine Learning with Python Online Course

(4.9) 9452 Ratings
  • Join Machine Learning with Python Online Training master predictive modeling and data-driven solutions using Python.
  • Learn core topics such as Python Basics, NumPy, Pandas, Matplotlib, Scikit-Learn and Unsupervised Learning Algorithms.
  • Gain hands-on experience through real-time projects, building predictive models, and performance evaluation.
  • Flexible Learning Options: Choose from Weekday, Weekend, or Fast-Track batches tailored to your schedule.
  • Learn from experienced trainers with industry expertise in Machine Learning and Python development.
  • Career Support including Resume Building, Certification Guidance, Interview Preparation, and Placement Assistance.

Course Duration

55+ Hrs

Live Project

3 Project

Certification Pass

Guaranteed

Training Format

Live Online (Expert Trainers)
WatchLive Classes
Course fee at
₹16000

₹21000

11684+

Professionals Trained

10+

Batches every month

3694+

Placed Students

241+

Corporate Served

What You'll Learn

Understand ML fundamentals: supervised, unsupervised, and reinforcement learning.

Perform data preprocessing: cleaning, normalization, feature engineering.

Machine Learning with Python Online Course Build regression, classification, clustering, and dimensionality reduction models.

Machine Learning with Python Online Training Evaluate models using accuracy, precision, recall, F1-score, and ROC curves.

Implement deep learning basics with neural networks using frameworks like TensorFlow and Keras.

Apply natural language processing (NLP) and computer vision techniques.

An Comprehensive Overview of Machine Learning with Python Course

This Machine Learning with Python Online Training offers a blend of theoretical concepts and practical applications to master the essentials of ML. Machine Learning with Python Online Course will work on real datasets using popular Python libraries, learning how to prepare data, build predictive models, and optimize performance. Machine Learning with Python Certification Course includes hands-on labs and projects to develop skills needed for roles in data science, AI engineering, and analytics.

Future Trends for Machine Learning with Python Training:

  • Increased adoption of AutoML and no-code ML platforms.
  • Growing use of explainable AI (XAI) for model transparency.
  • Expansion of edge ML and on-device AI applications.
  • Integration of ML with big data and cloud computing.
  • Advancements in reinforcement learning for autonomous systems.
  • Rising importance of ethical AI and bias mitigation techniques.
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Machine Learning with Python Training Objectives

  • Basically , it's an application of artificial intelligence. Also , it allows software applications to become accurate in predicting outcomes. Moreover , machine learning focuses on the development of computer programs. The primary aim is to allow the computers learn automatically without human intervention.
  • Over the past three years alone the number of AI-related job postings on Indeed has increased by 119 percent, according to the platform's latest AI talent report.
  • Python code is understandable by humans, which makes it easier to build models for machine learning. Since Python is a general-purpose language , it can do a set of complex machine learning tasks and enable you to build prototypes quickly that allow you to test your product for machine learning purposes.
  • Python for machine learning is a great choice, as this language is very flexible: It offers an option to choose either to use OOPs or scripting. There's also no need to recompile the source code , developers can implement any changes and quickly see the results.
  • LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
  • Market entry to various countries and jobs in major corporate.
  • Immediate job opportunities after Completion of training.
  • Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
  • Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
  • You must be comfortable with variables , linear equations , graphs of functions , histograms , and statistical means. You should be a good programmer. Ideally , you should have some experience programming in Python because the programming exercises are in Python.
  • Traditional Machine Learning requires students to know software programming , which enables them to write machine learning algorithms. But in this groundbreaking Udemy course , you'll learn Machine Learning without any coding whatsoever. As a result , it's much easier and faster to learn!.
  • Appreciate the breadth & depth of ML applications and use cases in real-world scenarios.
  • Import and wrangle data using Python libraries and divide them into training and test datasets.
  • Most machine learning positions will require a masters degree or a bachelors degree in a quantitative field with the ability to show relevant experience. To get a machine learning job without a degree won't be easy especially when you will be competing with people that have degrees.
  • With every industry looking to apply AI in their domain , studying machine learning opens world of opportunities to develop cutting edge machine learning applications in various verticals – such as cyber security , image recognition , medicine , or face recognition .
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Benefits of Machine Learning with Python Course

This Machine Learning with Python Certification Course prepares you to solve real-world problems by designing and deploying ML models. Gain expertise to work in AI-driven industries like healthcare, finance, retail, and autonomous systems. Machine Learning with Python Projects will strengthen your portfolio, making you a competitive candidate for roles like ML Engineer, Data Scientist, and AI Specialist.

  • Designation
  • Annual Salary
    Hiring Companies
  • 2.9L
    Min
  • 6.5L
    Average
  • 11.6L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 7.9L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 10.4L
    Average
  • 12.5L
    Max

About Your Machine Learning with Python Training

Machine Learning with Python Online Course covers the essential techniques to teach machines how to learn from data and make predictions. Machine Learning with Python Internship core ML algorithms, data handling, model evaluation, and deployment using Machine Learning with Python Course with Placement focus on practical problem-solving and end-to-end ML workflows to prepare you for industry challenges.

Top Skills You Will Gain
  • Supervised
  • Data preprocessing
  • Regression
  • Clustering
  • Neural networks
  • Model evaluation
  • NLP
  • Data visualization

12+ Machine Learning with Python Tools

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
06 - Oct - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
08 - Oct - 2025
08:00 AM (IST)
Weekend (Sat)
11 - Oct - 2025
11:00 AM (IST)
Weekend (Sun)
12 - Oct - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Why Machine Learning with Python Course From Learnovita? 100% Money Back Guarantee

Machine Learning with Python Course Curriculam

Trainers Profile

Trainers are certified professionals with 10+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Machine Learning with Python Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Syllabus of Machine Learning with Python Course Download syllabus

  • 1. Statistical analysis concepts
  • 2. Descriptive statistics
  • 3. Introduction to probability and Bayes theorem
  • 4. Probability distributions
  • 5. Hypothesis testing & scores
  • 1. Python Overview
  • 2. Pandas for pre-Processing and Exploratory Data Analysis
  • 3. Numpy for Statistical Analysis
  • 4. Matplotlib & Seaborn for Data Visualization
  • 5. Scikit Learn
  • 1. Machine Learning Modelling Flow
  • 2. How to treat Data in ML
  • 3. Types of Machine Learning
  • 4. Performance Measures
  • 5. Bias-Variance Trade-Off
  • 6. Overfitting & Underfitting
  • 1. Maxima and Minima
  • 2. Cost Function
  • 3. Learning Rate
  • 4. Optimization Techniques
  • 1. Linear Regression
  • 2. Case Study
  • 3. Logistic Regression
  • 4. Case Study
  • 5. KNN Classification
  • 6. Case Study
  • 7. Naive Bayesian classifiers
  • 8. Case Study
  • 9. SVM - Support Vector Machines
  • 10. Case Study
  • 1. Clustering approaches
  • 2. K Means clustering
  • 3. Hierarchical clustering
  • 4. Case Study
  • 1. Decision Trees
  • 2. Case Study
  • 3. Introduction to Ensemble Learning
  • 4. Different Ensemble Learning Techniques
  • 5. Bagging
  • 6. Boosting
  • 7. Random Forests
  • 8. Case Study
  • 9. PCA (Principal Component Analysis) and Its Applications
  • 10. Case Study
  • 1. Introduction to Recommendation Systems
  • 2. Types of Recommendation Techniques
  • 3. Collaborative Filtering
  • 4. Content based Filtering
  • 5. Hybrid RS
  • 6. Performance measurement
  • 7. Case Study
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Need customized curriculum?

Industry Projects

Project 1
Predictive Sales Forecasting

Build regression models to predict future sales using historical data. Analyze feature importance and tune models for accuracy.

Project 2
Customer Segmentation

Apply clustering techniques like K-means to segment customers based on purchasing behavior for targeted marketing.

Project 3
Sentiment Analysis on Social Media

Use advanced NLP techniques to classify sentiments of tweets or reviews into positive, negative, or neutral categories.

Career Support

Our Hiring Partner

Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Machine Learning with Python Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Machine Learning with Python Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Machine Learning with Python Training course. It helps you to prepare for the actual Machine Learning with Python Certification exam. You can try this free Machine Learning with Python Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Machine Learning with Python Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Machine Learning with Python Developers.

Our Student Successful Story

checkimage Regular 1:1 Mentorship From Industry Experts checkimage Live Classes checkimage Career Support

How are the Machine Learning with Python Course with LearnoVita Different?

Feature

LearnoVita

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Machine Learning with Python Fees With Limited Payment Options.

Live Class From ( Industry Expert)

Well Experienced Trainer From a Relevant Field With Practical Machine Learning with Python Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Machine Learning with Python Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Machine Learning with Python Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Machine Learning with Python Certifications With Global Validity.

Basic Machine Learning with Python Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

Additional Features

Lifetime Access to Machine Learning with PythonCourse Materials, Alumni Network, and Hackathons.

No Additional Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

Machine Learning with Python Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend , you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. AAppium at learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Machine Learning with Python I exam centers, as well as an authorized partner of Machine Learning with Python . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Machine Learning with Python .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Machine Learning with Python at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Machine Learning with Python Service batch to 5 or 6 members.
The average annual salary for Machine Learning with Python Professionals in India is 5 LPA to 6 LPA.
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