Machine Learning with Python Classroom Training Mumbai, India

Machine Learning With Python Mumbai

Weekend Session: 1st Dec to 30th Dec 2018
Weekend Session: 19th Jan to 17th Feb 2019
Weekend Session: 9th Feb to 10th Mar 2019
Weekend Session: 16th Mar to 14th Apr 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 Mumbai

  • 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 Mumbai

Brief Info

Have 15+ years of industrial/research experience on design & development of implementable solutions for various complex supply-chain & other allied business problems – across industries.The thrust area of experience & expertise is in quantitative modeling with advanced analytics & data science skills, including traditional algorithms, advanced statistical analysis, machine learning, evolutionary computations, simulation, and optimization.

Research Achievement

Co-Authored 20+ research articles in international journals/Conference like, Mathematical and Computer Modelling, Computers & Industrial Engineering, International Journal of Management Science & Engineering Management, International Journal of Operational Research, International Journal of Integrated Supply Management; IEEE International Conference on Industrial Engineering and Engineering Management, Singapore; Winter Simulation Conference (INFORMS), Arizona, etc.

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 Mumbai 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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