Machine Learning is a bunch of mathematical techniques to solve data related modelling problems. In R or Python or some other tool whatever, the math is one and same. So please put more focus on understanding the concepts.
This course suites for graduates/experienced professionals. The main objective is to learn the Data Science concepts and the important point to remember is that how you deal with data from visualisation and mining to pre-processing followed by modelling to deployment. At each level, there are many tools which help you achieve an objective.
We are a team Data Scientists with rich experience ranges from 3 years to 12 years; we would love to train and mentor the data science aspirants. We do facilitate the online lab environment along with data sets, and there are many capstone projects.
Internships can be offered to best trainees, and the job opportunities can be shown to top interns. A lot work to do in our product development, there are possibilities to engage The best trainees.
We are located in Hyderabad and having a development company as well. Top performers in the batch will be encouraged by offering Internships Min 3 months - Max 6 Months.
For the best interns, job opportunities can be shown.
Learning Out comes
Business Analysis Competency:
Understands the customerâ??s business objectives
Understands existing business processes
Evaluation the feasibility of solving a business problem
Data Science Competency:
Data Analysis
Analyze and visualize the data
Selecting of most effective techniques to process the data
Communicate to customers the techniques and limitations
Defining the business & technical success criteria
Access feasibility about chosen techniques
Selection of modelling techniques and the invention of new algorithms to solve problems and build new tools to automate work
Data Modelling & Predictive Analysis
Perform exploratory analysis on sample data
Select modelling techniques
Build & Assess prototype models, revise models and evaluate the results
Selection of final technique
Defining deployment strategy
Results Analysis & Data visualization
Storytelling to the business user.
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