NOTE: Students & Instructors are encouraged to read & review our AFAQs.

Scope:

1. Data Analysis, Mining, and Visualization, Machine Learning, & Python Programming
2. Math modelling of partial data to regress variable output (s) as a function of inputs
3. Validate math model with rest of the non-leveraged data in the DB
4. Estimate probability of variable output (s) based on relevant variable inputs

Tasks to be executed:

1. Screen and Select students based on pre-qualification skills
2. Apply ML to partially leveraged DB to regress inputs to output (s)
3. Run regression diagnostics tools to validate math model with rest of non-leveraged DB
4. Predict variable output (s) of using ML model based on validated model

Team members at MGBS including "C" level executive at sessions per need.

Team and MGBS Inc. will decide frequency of meeting, length of meetings, effectiveness of meetings and most importantly escalation protocol of any issues coming from either side on a proactive and a constructive basis. Goal is to reduce meeting frequency and time and focus on meetings to celebrate milestone completion and lessons learned.

Number one contributing factor for project success is ability to escalate rapidly and collaboratively resolve to success and operate harmoniously as a TEAM.

So, if team member isn't appreciative of inclusivity, collaboration, & constructive execution, they may not benefit from this project.