Machine Learning with Python Classroom Training Bangalore, India

Machine Learning With Python

Weekday Session: 25th Feb to 29th Mar 2019
Weekday Session: 18th Mar to 19th Apr 2019
Weekend Session: 23rd Mar to 21st Apr 2019
Weekday Session: 08th April to 10th May 2019
Weekend Session: 18th May to 16th June 2019

(62 Hours Training, 30 Hours of Self-paced Training: 30 Hours of Classroom workshop and 2 Hours of Online doubt clearing session)








Course Description

Machine Learning with Python Classroom has been designed by NearLearn’s associate Chief Data Scientists for aspirants who want to become Machine Learning Expert in a short span of time. Aspirants will have the stronghold in Machine Learning Algorithms, real-time use cases, and implementation knowledge by using Python.


Insights of machine learning with Python

After course completion, a participant can get entitled with the below:

  • Strong knowledge on AI, Data Science and Machine Learning.
  • Implementation and having strong holds on principles, algorithms and applications of Machine Learning through unique teaching approach.
  • Having depth knowledge of Machine Learning models with the base of mathematical and heuristic aspects of Machine Learning.
  • Comprehensive relation between theory and practical for Machine Learning.
  • Problem solving ability for different real world scenarios on Machine Learning as we will be covering various real time use cases and you need to accomplish 2+ ML projects.

Benefits of Machine Learning Classroom Training in Bangalore

  • Depth knowledge of machine learning based algorithms and implementation to work on any ML projects.
  • Learn how to perform supervised learning techniques such as linear and logistic regression.
  • Understand what is data classifications and models.
  • Development knowledge of robust Machine Learning models.
  • Learn what, why and how to use top algorithms among many for any Machine Learning problem.
  • Learn how to create accurate predictions and powerful analysis.
  • Where and how to use unsupervised learning algorithms as Clustering & Segmentation.

Who should attend this ML Classroom Training?

  • Software Engineers want to be a Data Scientist or Machine Learning Engineer.
  • Senior Software/Solution Architects, who want to have strong domain knowledge on Machine Learning algorithms OR
  • Analytics candidates, Python Developers, who are opting to work in the domain of Machine Learning or Artificial Intelligence.
  • Experienced professionals working in other domains and would like to shift their career into world’s hottest domain; Machine Learning.
  • Fresher or Graduates seeking for building their career in Data Science and Machine Learning.

Instructor Bangalore


Brief Info

A Tech Enthusiast with expertise in Artificial Intelligence, Machine Learning, Internet of Things, Deep Learning and grip on R and Python.

Deepak is a Mathematics and Computing graduate from IIT-BHU, Varanasi in 2010. He has an industry experience of 7+ years with specialization in web technologies, cloud infrastructure development and databases. He always is on a lookout for latest technologies and how their use can help us solve real world problems.

Recent advancements in field of Internet of Things and Machine Learning have caught his eye. He likes the field and is actively involved in learning, developing and letting others know about the immense potentials of it.


Educational Qualification

Graduation: Indian Institute of Technology, BHU, Varanasi


Professional Experience
  • Worked as Senior Software developer at Oracle India for 5 year on Web Development and Cloud Infrastructure Team.
  • Currently works as a freelance developer and trainer on IoT, Machine Learning & Artificial Intelligence since 4 years.
  • Trained Corporate on various technologies like IoT, Machine Learning, Python, Artificial Intelligence.

  • Download Course Curriculum

    Classroom FAQ’s

    Machine Learning is a highly interdisciplinary subject. Hence, basic understanding of the following Concepts is highly useful:

    • Some background in programming (basic familiarity with variables, functions, loops, etc in any language) is helpful.
    • Linear algebra
    • Probability theory
    • Statistics & hypothesis testing
    • Optimization methods

    NearLearn has a dedicated job Assistance Team, who work with candidates on individual basis in assisting for right Machine Learning job.

    Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment.

    Cheque should be drawn in favour of “Near And Learn Pvt. Ltd.” payable at Bangalore NEFT Payment:

    Account Name: Near And Learn Pvt. Ltd,

    Account Number: 201002051650

    IFSC Code: INDB0000008

    Branch: IndusInd Bank Limited Bangalore

    A/c Type: Current

    09.30am – 06.00pm Weekend(Saturday-Sunday)

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    Classroom Location

    (*tentative)