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Machine Learning with Python Online Course Training in Bangalore India

Machine Learning With Python Online Training in Bangalore Live Classes

  (120 Reviews)
      1500 Registered Users

Our team of industry expert provide in depth knowledge of machine learning online course including real-time projects, making you expert in developing algorithms by applying supervised and unsupervised learning, regressionand time series models.

32,000 + GST
29,000 + GST

(0% Interest on EMI)

Course Decription

Are you interested in learning how to harness the power of machine learning with Python? Look no further than NearLearn, where we offer comprehensive weekday and weekend courses designed to help you become an expert in this exciting field. Our course is carefully crafted to offer practical, hands-on training that equips you with the skills you need to become a Machine Learning Expert. Whether you have basic knowledge, a beginner, or an experienced professional, our course will help you take your skills to the next level and unlock new career opportunities.

Join our weekday or weekend classes and start your journey toward mastering Machine Learning with Python!


Benefits of Machine Learning with Python Course:

Career Opportunities
With the rising demand for Machine Learning experts in various industries, learning Machine Learning with Python can open up numerous career opportunities.

Hands-on Experience
You'll get practical experience by working on live projects and applying the technique learned during the course to solve real-world problems.

Industry-Standard Programming Language
Python is one of the most widely used programming languages in the industry. Learning Machine Learning with Python will give you an edge in the job market.

Discover the Power of Machine Learning with Python Today!

Over the last few years, Machine Learning has been among the hottest technologies in the tech world for good reasons. Being able to harness the power of Machine Learning allows companies to take advantage of insights inaccessible before, allowing them to make sound decisions that assist their business in growing and succeeding.

NearLearn's Machine Learning with Python course is designed to help you become a Machine Learning Expert, equipping you with the skills you need to solve real-world problems and drive business success.

This in-depth course is designed and taught by our industry experts professionals equipped with years of expertise. Their teaching methodology is student-centric, i,e, they don’t cover the course but are focused on learning and understanding. This allows students to understand the field's concepts and approaches thoroughly.

With a focus on hands-on training, our course is designed to equip you with the skills you need to tackle real-world Machine Learning challenges.

Enroll Yourself Today

Don't wait any longer to discover the power of Machine Learning with Python. Enroll in our course today and build a successful career in this exciting field.

NearLearn is one of the leading Machine Learning Online Course Training Institute in Bangalore offers advanced learning methods making candidates to get overview of how huge amount of data is created, how to extract important company insights, methods employed to investigate structured and unstructured data, most advanced machine learning algorithms applied to develop advanced forecast models and how to envision data.

All these are determined and covered from online machine learning course in Bangalore from NearLearn. We provide practical case studies which are business related have been offering our learners stand out from the bottom and produce outstanding results from the most reputable companies. Our candidates have been dropping new steps in the corporate experience by enhancing industry-ready as soon as they finish from colleges.

Machine Learning Course in Bangalore is almost taking the globe in terms of support demand for tech companies, who are into the same domain and execute the projects on Machine Learning.

There is a tentative estimation for machine learning market expansion from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022.

Pursuing this course will make you being able to perform below:

  • Identify different applications for machine learning based algorithms.
  • Different learnings, which includes supervised and unsupervised.
  • Performing supervised learning techniques such as linear and logistic regression.
  • Understanding on data classifications and models.
  • Development of robust Machine Learning models.
  • Top algorithms among many for any given Machine Learning problem.
  • Create accurate predictions and powerful analysis.
  • Usage of unsupervised learning algorithms as Clustering & Segmentation.

    • There is a growing demand for skilled Machine Learning Engineers across all industries, making this Machine Learning certification course well-suited for participants at the intermediate level of experience. We recommend this Machine Learning Training particularly for the following professionals:

  • Enthusiastic Software Developers to be a Data Scientist or Machine Learning Engineers.
  • Managers from Analytics background.
  • BA profile holders, who are willing to know about Data Science techniques.
  • Software/Solution Architects, who want to have a strong hold on Machine Learning algorithms.
  • Analytics candidates, who are opting to work in the domain of Machine Learning or Artificial Intelligence.
  • Graduates seeking for building their career in Data Science and Machine Learning.

    • Some of the real-life projects included in the Course are like:

  • Predicting Housing Price
  • Predicting a business deal outcome (win or loss)
  • Predicting sales performance of newly on-boarded dealer/distributors
  • Predicting credit card defaulter (Yes or No)
  • Predicting commodity price
  • Customer segmentation
  • Time series forecasting
  • The objective of the projects is to provide a perspective of the technical challenges faced by any data scientist in real-life scenarios.

    • Deep Learning & Artificial Intelligence (AI). These are surely going to be the next waves in the data science space. As we have started living in a ‘smart’ environment, AI is going to play an important role to build all the smart and autonomous systems; and potentially creating significant job opportunities in this field.

    Are you looking for best online Machine Learning Course in Bangalore (BTM Layout, Malleswaram, Koramangala, Koramangala, Hebbal, Jayanagar, Banashankari, Ulsoon, Marathahalli, JP Nagar)? Reach us at info@nearlearn.com

    Deep Learning & Artificial Intelligence (AI). These are surely going to be the next waves in the data science space. As we have started living in a ‘smart’ environment, AI is going to play an important role to build all the smart and autonomous systems; and potentially creating significant job opportunities in this field.

    Are you looking for best online Machine Learning Course in Bangalore (BTM Layout, Malleswaram, Koramangala, Koramangala, Hebbal, Jayanagar, Banashankari, Ulsoon, Marathahalli, JP Nagar)? Reach us at info@nearlearn.com

    COURSES CURRICULUM

    Lecture1.1 Data science & its importancePreview

    Lecture1.2 Key Elements of Data Science

    Lecture1.3 Data Warehousing

    Lecture1.4 Business Intelligence

    Lecture1.5 Data Visualization

    Lecture1.6 Data Mining

    Lecture1.7 Machine Learning

    Lecture1.8 Artificial Intelligence

    Lecture1.9 Cloud Computing

    Lecture1.10 Big Data

    Lecture1.11 Artificial Intelligence: A previewPreview

    Lecture1.12 What is Artificial Intelligence & its importance

    Lecture1.13 Artificial Intelligence vs Machine Learning

    Lecture2.1 What is Machine Learning (ML)?Preview

    Lecture2.2 How machines learn Preview

    Lecture2.3 Types of learning: Supervised, Semi-supervised, Unsupervised, Reinforcement

    Lecture2.4 Basics of Classification, Regression and Clustering algorithms

    Lecture2.5 Creating your first Prediction Model

    Lecture2.6 Training & Model evaluation

    Lecture2.7 Choosing Machine Learning algorithm

    Lecture3.1 A quick refresh on basic intermediate maths

    Lecture3.2 Linear Algebra (Vectors, Matrix, Eigen Values)

    Lecture3.3 Probability and Statistics

    Lecture3.4 Hypothesis testing

    Lecture3.5 Optimization

    Lecture4.1 A quick crash course on basics of PythonPreview

    Lecture4.2 Python Object and Data Structure

    Lecture4.3 Python Comparison Operators

    Lecture4.4 Python Statements

    Lecture4.5 Methods and Functions

    Lecture4.6 Milestone Project – 1

    Lecture4.7 Object-Oriented Programming

    Lecture4.8 Modules and Packages

    Lecture4.9 Errors and Exception Handling

    Lecture4.10 Milestone Project – 2

    Lecture4.11 Built-in Functions

    Lecture4.12 Python Decorators

    Lecture4.13 Python Generators

    Lecture4.14 Final Capstone Python Project

    Lecture4.15 Advanced Python Modules

    Lecture4.16 Advanced Python Objects and Data Structures

    Lecture4.17 Advanced OOP

    Lecture4.18 Parallel Processing

    Lecture4.19 Python Packages [Statsmodels, Sci-kit Learn, Scipy, Numpy, Pandas, Matplotlib, Seaborn, etc.]

    Lecture5.1 Data Collection & Preparation

    Lecture5.2 Data Mugging

    Lecture5.3 Outlier Analysis

    Lecture5.4 Missing value treatment

    Lecture5.5 Feature Engineering

    Lecture5.6 Data TransformationPreview

    Lecture5.7 Normalization vs Standardization

    Lecture5.8 Creating Dummies

    Lecture5.9 Dimensionality Reduction

    Lecture5.10 Principal Component AnalysisPreview

    Lecture6.1 Supervised Machine Learning algorithms

    Lecture6.2 Linear RegressionPreview

    Lecture6.3 Logistic RegressionPreview

    Lecture6.4 Decision/Classification

    Lecture6.5 Tree Ensemble Models

    Lecture6.6 Bagging

    Lecture6.7 Boosting

    Lecture6.8 Random Forest

    Lecture6.9 K-Nearest Neighbours (KNN)

    Lecture6.10 Naive Bayes

    Lecture6.11 Neural Network (Deep Learning)

    Lecture6.12 Support Vector Machine

    Lecture6.13 Unsupervised Machine Learning algorithms

    Lecture6.14 Clustering with K-means Clustering

    Lecture6.15 Bias-Variance Trade off

    Lecture6.16 Regularization

    Lecture6.17 Parameter tuning & grid search optimization

    Lecture7.1 Real life cases with Python

    Lecture8.1 Students would be given challenging real life cases to solve – just to augment their learning skills.

    Reviews

    studant

    Shubham

      (2 Review)

    I have enrolled for NearLearn Machine Learning with Python Course Training. The Session was very Nice. The trainer is knowledgeable and his skills of explaining the concepts are awesome.

    studant

    Sneha Deshpande

      (2 Review)

    I am satisfied with the Machine Learning workshop coducted by NearLearn. The instructor explained course objectives clearly. Made class enjoyable as well as educational.

    studant

    Rudranee

      (2 Review)

    Machine Learning Training session was good.I am satisfied about this course.The training experience will be useful in my work. Course explanation was very clear and understandable.

    studant

    Ketan

      (2 Review)

    The session was very enjoyable as well as educational. This training experience will be very useful in my work. I would really recommend this instructor. Thanks

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    • Machine Learning Training - Instructor LED Live Online Classes
    32,000 + GST 29,000 + GST

    Upcoming Online Trainings

    April 10th | Weekdays | 8 Weeks | 09:30AM TO 10:30AM

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    Training Features

    Comprehensive Curriculum
    Our Machine Learning with Python course covers everything from the basics to advanced concepts, including supervised and unsupervised learning, deep learning, neural networks, and more.

    Industry-Relevant Projects
    Our course offers industry-relevant projects that enable you to apply your learning to real-world problems and build a strong portfolio to showcase your skills to potential employers.

    Experienced Instructors
    Our instructors are machine learning and Python programming experts with years of industry experience to share.

    Flexible Scheduling
    Whether you prefer weekday or weekend classes, we offer various scheduling options to fit your busy lifestyle.

    Career Development
    Our courses are designed to help you develop the skills you need to advance your career in machine learning and Python programming.

    Cutting-Edge Curriculum
    Our curriculum is constantly updated to reflect the latest trends and techniques in machine learning and Python programming.