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Event Details


Machine Learning With Python Training

Mumbai: 21st – 22nd April 2018

Course Description

Machine Learning with Python has been designed for the provision of having strong hold in creating Machine learning algorithms with the base of Python. This has been preferred as the best and robust platform for having Machine Learning systems.

Insights of machine learning with python

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

  1. Strong knowledge on AI, Data Science and Machine Learning
  2. Implementation and having strong holds on principles, algorithms and applications of Machine Learning through unique teaching approach
  3. Having depth knowledge of Machine Learning models with the base of mathematical and heuristic aspects of Machine Learning
  4. Comprehensive relation between theory and practical for Machine Learning
  5. 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 7+ ML projects
  1. Identify different applications for machine learning based algorithms
  2. Performing supervised learning techniques such as linear and logistic regression
  3. Understanding on data classifications and models
  4. Development of robust Machine Learning models
  5. Top algorithms among many for any given Machine Learning problem
  6. Create accurate predictions and powerful analysis
  7. Usage of unsupervised learning algorithms as Clustering & Segmentation.

Who should take this Training

  1. Enthusiastic Software Developers to be a Data Scientist or Machine Learning Engineers
  2. Software/Solution Architects, who wants to have strong hold on Machine Learning algorithms
  3. Analytics candidates, who are opting to work in the domain of Machine Learning or Artificial Intelligence
  4. Graduates seeking for building their career in Data Science and Machine Learning


Name: Naina Kapoor


April 21, 2018 — 9:30 am to
April 22, 2018 — 6:00 pm

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University Road, Pune, Maharashtra
Pune, Maharastra