MACHINE LEARNING WITH PYTHON CERTIFICATION AUTHORITIES

MACHINE LEARNING WITH PYTHON COURSE FEATURES

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING WITH PYTHON COURSE FEE

Live Virtual

Instructor Led Live Online

790
619

  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

480
279

  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

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  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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BEST MACHINE LEARNING WITH PYTHON CERTIFICATIONS

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WHY DATAMITES INSTITUTE FOR ML WITH PYTHON COURSE

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SYLLABUS OF MACHINE LEARNING WITH PYTHON COURSE

  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model

OFFERED MACHINE LEARNING TRAINING COURSES

MACHINE LEARNING WITH PYTHON CAREER SUCCESS STORIES

MACHINE LEARNING WITH PYTHON COURSE REVIEWS

ABOUT MACHINE LEARNING WITH PYTHON TRAINING COURSE

DataMites is a globally recognized training institute that offers comprehensive Machine Learning Courses tailored for learners at all levels from beginners to advanced practitioners. With over 100,000+ learners trained across the world, DataMites has earned a solid reputation for delivering high-quality education in areas like Machine Learning with Python Course and Artificial Intelligence Courses. As global investments in AI are expected to reach $200 billion by 2025, particularly in model development, infrastructure, and software applications, learning from a trusted provider like DataMites positions you well for future opportunities in this rapidly growing field.

DataMites Institute provides a comprehensive Machine Learning with Python course accredited by IABAC and NASSCOM FutureSkills, ensuring alignment with international standards in ML education. Spanning 6 days, the program combines in-depth theoretical instruction with practical, hands-on experience. Designed for both students and professionals, it features live projects, internship opportunities, and personalized mentorship. With strong placement support, the course empowers learners to build successful careers in the fast-growing field of Machine Learning.

Datamites Machine Learning Python Course with Internships

At DataMites, our Machine Learning with Python Training with Internships is designed to blend theoretical knowledge with real-world application. Through integrated internship opportunities, learners gain practical experience, enhancing their technical skills and industry readiness. This unique training approach equips students to confidently pursue careers in the fast-growing fields of Machine Learning and AI.

Datamites Machine Learning Python Course with Placements Assistance

DataMites provides machine learning python training with placement assistance, helping learners move smoothly from training to employment. The program is structured to meet the demands of the evolving ML job market, preparing students for promising careers in artificial intelligence and machine learning with python courses. With a strong focus on practical skills and industry relevance, DataMites ensures participants are fully equipped to excel in real-world roles and take advantage of emerging opportunities in the field.

Datamites Machine Learning With Python Course Curriculum

  1. Python for Machine Learning
  2. Basic Statistics for Machine Learning
  3. Introduction to Machine Learning
  4. Data Processing for Machine Learning
  5. Machine Learning Algorithms
  6. Building and Training Machine Learning models
  7. Hands on case study: Property Estimations with ML

Why Choose Machine Learning with  Python Course?

Python is one of the most popular and beginner-friendly programming languages used in the field of machine learning. Choosing a Machine Learning with Python course is a smart decision for many reasons:

  1. Easy to Learn and Use: Python has a simple and readable syntax, making it ideal for beginners. It allows you to focus on learning machine learning concepts without getting overwhelmed by complex code.
  2. Extensive Libraries and Tools: Python offers powerful libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, and Matplotlib that simplify tasks like data processing, model building, and visualization.
  3. Widely Used in the Industry: Top tech companies and research organizations use Python for machine learning and AI projects. Learning Python gives you a skill that’s in high demand across industries.
  4. Great for Rapid Prototyping: Python allows quick testing and implementation of machine learning models, making it efficient for experimenting and innovating.
  5. Career Opportunities: Python-based machine learning skills are highly valued in roles such as Data Scientist, ML Engineer, AI Developer, and Business Analyst.

The Benefits of Learning Machine Learning with Python Course

Online Machine Learning with Python Course offers a powerful combination of practical skills and career advantages. Here are the key benefits:

  1. Beginner-Friendly Programming Language: Python's simple and intuitive syntax makes it easier for beginners to learn programming while focusing on machine learning concepts.
  2. Rich Ecosystem of Libraries: Python provides access to a wide range of machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy making it faster to develop and test models.
  3. Used by Top Companies: Python is the language of choice for leading companies like Google, Facebook, and Netflix in their machine learning and data science projects making your skills highly relevant in the job market.
  4. Flexible and Scalable: Whether you're building a small project or working on a large-scale AI solution, Python can handle tasks of all sizes efficiently.
  5. Foundation for Advanced Learning: Mastering Python and machine learning courses lays a solid foundation for exploring more advanced topics like deep learning, NLP, and AI.

Skills Required for a Machine Learning with Python Course

Before starting a Machine Learning with Python course, it's helpful to have some basic skills. You don’t need to be an expert just a foundation in the following areas will make learning easier and more effective:

  1. Basic Knowledge of Python Programming: Understanding of variables, loops, functions, and data types
  2. Mathematics and Statistics: Basic concepts in linear algebra, calculus, and probability
  3. Analytical and Logical Thinking: Ability to think critically and solve problems
  4. Basic Data Handling Skills: Understanding how to read, clean, and manipulate data using Python
  5. Familiarity with Machine Learning Concepts: Knowing basic ML terms like models, training, testing, and prediction can give you a head start

Python is the most in-demand programming language in the world of data science and AI. By mastering machine learning with Python training, you’ll future-proof your career and gain the ability to solve complex, high-value problems. Start your journey today with our offline machine learning with Python course and become a part of the AI revolution.

DataMites Institute has established a strong presence across India, with more than 20+ training centers located in major metropolitan areas as well as emerging cities. These centers offer convenient access to top-quality courses in Machine Learning Course, Artificial Intelligence Course, and Data Science Course. Designed to enhance the learning experience, each facility is equipped with modern infrastructure, experienced trainers, and a supportive atmosphere suitable for learners of all levels.

As smart technologies continue to reshape industries, gaining expertise in Machine Learning with Python Course has become essential for tech professionals aiming to stay ahead in a competitive job market. DataMites Machine Learning Institute provides a well-structured curriculum, globally recognized certifications, practical internship opportunities, and comprehensive placement assistance making it a reliable choice for those looking to build or advance their careers in the field of machine learning.

ABOUT DATAMITES MACHINE LEARNING WITH PYTHON COURSE

This course is ideal for anyone looking to learn machine learning concepts and implement them using Python’s powerful libraries. Whether you’re a beginner in ML, a programmer wanting to transition into AI, or a data analyst eager to expand into predictive modeling, this course is designed for you.

Prior experience with Python is helpful but not mandatory. The course includes a Python refresher and introduces coding concepts gradually, making it beginner-friendly.

The Machine Learning with Python course covers:

  1. Introduction to Machine Learning
  2. Python for Data Science & ML
  3. Data Collection and Preprocessing
  4. Feature Engineering
  5. Supervised & Unsupervised Learning Algorithms
  6. Model Evaluation & Optimization
  7. Real-World Project Implementation

Yes. You’ll work on hands-on projects like spam email detection, customer churn prediction, sales forecasting, and movie recommendation systems.

You’ll gain proficiency in:

  1. Python – Core programming
  2. NumPy & Pandas – Data manipulation
  3. Matplotlib & Seaborn – Data visualization
  4. Scikit-learn – Model building and evaluation
  5. Jupyter Notebook – Interactive coding environment

Typically 2 to 3 months with 60–80 hours of learning. Flexible batches are available on weekdays, weekends, and in self-paced online formats.

Yes. By mastering Python-based ML, you’ll be prepared for roles like Machine Learning Engineer, Data Analyst, or AI Developer, and it’s an excellent foundation for deep learning and NLP.

  1. Foundation Course: Introduces core ML concepts in a broad, beginner-friendly way.
  2. Python ML Course: Focuses on implementing those concepts with Python, preparing you for hands-on work.

Fees typically range from ₹20,000 – ₹40,000, depending on the mode of learning and inclusions.

Students, IT professionals, career changers, and AI enthusiasts eager to build ML models using Python.

Yes. The course starts with Python basics and progressively covers advanced ML topics.

A basic understanding of algebra, probability, and statistics will help, but all essential math concepts are explained as part of the training.

You can work in:

  1. Healthcare – Predictive diagnostics
  2. Finance – Credit risk modeling
  3. E-commerce – Recommendation systems
  4. Marketing – Customer segmentation
  5. Manufacturing – Predictive maintenance

Absolutely. This course provides the foundation to advance into deep learning, NLP, and computer vision.

Yes. It includes normalization, encoding, feature scaling, and handling missing values.

Basic coding skills are helpful but not required the course teaches Python alongside ML concepts.

No. You’ll learn all the necessary data handling and analysis skills during the course.

Yes. Python is the most widely used language in AI, and mastering ML in Python opens opportunities in AI development.

  1. Spam email detection
  2. Movie and product recommendations
  3. Stock price prediction
  4. Sentiment analysis
  5. Fraud detection in banking

The average annual salary of a Machine Learning Engineer is around  $156,885 in the United States, £60,885 in UK, and INR ₹8,47,730 in India. (Indeed)

Machine learning certifications hold importance as they demonstrate expertise in a field with wide-ranging applications. They enhance career prospects in the technology-driven world.

Skills such as data analysis, statistical knowledge, data storytelling, communication, and problem-solving are beneficial for learning Python, particularly for data science applications.

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FAQ’S OF MACHINE LEARNING WITH PYTHON TRAINING COURSE

DataMites provides a comprehensive Machine Learning with Python Certification Program that combines theoretical foundations of machine learning with practical, hands-on Python applications. The course emphasizes real-world use cases to help learners confidently apply skills in industry scenarios.

The program duration is typically 2 to 3 months, offering 60–80 hours of training. Students can choose from flexible weekday or weekend batches, allowing them to balance learning with their personal and professional commitments.

The course fee ranges from ₹20,000 to ₹60,000, depending on the learning mode (online or classroom), course package, and additional support features like internships or extended mentorship.

Yes, upon successful course completion, learners receive a globally recognized, IABAC-accredited certification, validating their skills for job applications worldwide.

Yes, DataMites offers free demo classes so you can evaluate the trainer’s teaching style, course structure, and content quality before making a decision.

Placement support includes resume building, interview preparation, mock interviews, job notifications, and direct industry networking opportunities, helping students transition into relevant AI/ML roles.

Absolutely. The course begins with Python fundamentals before advancing to applied machine learning concepts, making it suitable even for those new to programming.

Yes, learners can join real-time internships with industry partners to gain hands-on experience and strengthen their job portfolios.

Yes, the program features practical projects in areas like fraud detection, recommendation systems, and predictive analytics to reinforce theoretical learning with real applications.

There are no strict prerequisites, but basic knowledge of Python and mathematics can help learners grasp concepts more quickly.

Yes, flexible payment plans and installment options are available, making the course financially accessible.

All trainers are industry professionals with extensive experience in AI, ML, and Python, ensuring that learners gain insights from real-world experts.

Yes, a refund policy exists under certain conditions, often applicable when learners withdraw early in the course.

DataMites offers expert-led training, real-world project experience, global certifications, and strong placement support, making it a trusted choice for career advancement.

Learners receive complete study resources, including recorded sessions, Python notebooks, datasets for practice, and additional reference materials to support learning beyond the classroom.

DataMites is a globally recognized institute for Machine Learning, accredited by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, we offer a three-step learning approach encompassing self-study materials, live online training, and real-world projects. Upon completion, you will receive the highly valuable IABAC certification, and internship opportunities with Rubix, a global AI company, are available.

The fees for the Machine Learning Course Online are as follows:

  • USA -$790-Discounted price- $634
  • India -INR 48,000-Discounted price- INR 38,848
  • UK -€760-Discounted price- €368

DataMites provides classroom training exclusively in Bangalore. However, upon request and considering the availability of other candidates in specific locations, we can arrange classroom training in other cities.

The Flexi-Pass for Machine Learning training allows you to attend sessions at DataMites related to any query or revision for a period of three months.

Upon completion, DataMites will issue an IABAC® certification that holds global recognition and validates your relevant skills.

Certainly, upon completing the course, you will receive a Course Completion Certificate from DataMites.

Yes, we have a dedicated Placement Assistance Team (PAT) that provides placement facilities to students upon completion of the course.

We accept payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.

The Python for Deep Learning Training at DataMites is open to individuals with a background in programming or data science. It is suitable for professionals, students, and enthusiasts who want to gain expertise in using Python for deep learning.

The duration of the Python for Deep Learning Course at DataMites is 6 months. The training sessions are conducted on weekdays and weekends to accommodate different schedules.

Yes, DataMites offers classroom training, currently available only in Bangalore, India. However, they may consider hosting classes in other locations based on demand and the availability of candidates.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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