In Kaviglobal we believe in “In vain have you acquired knowledge if you have not imparted it to others” -Deuteronomy Rabbah (c. 450–900). Taking forward this “Learning-through-Sharing” spirit,we organized our second meetup “MongoDB Juiced Up” on November 1, 2017 to share the knowledge we have aquired on the technology. SK
At Kavi Global, we believe the best way to learn is to share knowledge. We wanted to take this spirit of learning forward to the Data enthusiast community as well. In this context, with the aim of spreading awareness about the emerging big data technologies , Kavi Global organized a
Challenge: The maintenance & planning group for an asset leasing business is tasked with the preparation of next year’s maintenance plans for a fleet of 10,000 trucks at 8 of the in-network repair shops. Traditional planning process underutilizes and misaligns their repair shop resources wasting precious dollars and leaving some valuable
Challenge:Increasing number of organizations are realizing the value of predictive analytics and what it can do for them. A non-profit museum needs to generate a highly targeted prospect list for their upcoming fundraising campaign. Since it’s difficult for a small size organization to employ full-time statisticians and data scientists,
Linear Regression Analysis fits a straight line between dependent variable and one or more independent variables. It is used for predicting the dependent variable using independent variables. In this section, Linear Regression analysis will be performed using some of the Python’s libraries/modules such as ‘Panda’, ‘Scikit-Learn’, ‘Numpy’, ‘MatPlot’ and ‘Statsmodels’.