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Leading-edge Model Building solutions
The model building process involves setting up ways of collecting data, understanding and paying attention to what is important in the data to answer the questions you are asking, finding a statistical, mathematical or a simulation model to gain understanding and make predictions.The three stages on which sofstack build the hypotheses in machine learning are model building, model testing and applying model.
Steps to build a machine learning model
Step 1.
Understand and identify the business problem
Step 2.
Understand and
identify data
Step 4.
Determine the model's features and train the model
Step 3.
Collect and prepare data
Step 5.
Evaluate the model performance and establish benchmarks
Step 6.
Experiment and adjust the model in operation
Step 7.
Experiment and adjust the model
Hire for any scope
of work:
Short-term tasks
Build a pool of diverse experts for one-off tasks
Recurring projects
Have a go-to team with specialized skills
Full-time contract work
Expand your staff with a dedicated team
How it Works?
Collecting unlabeled training data
Analyzing Data
Opting and Training data
Cataloging Data
Why Sofstack?
3+ years of
Experience
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20+
Professional
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15000+
Projects Delivered
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14000+
Happy Customers
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