i) I am selected as a collaborator at the Omdena local chapter. As a collaborator I am working on water monitoring system project using GIS and satellite imagery.ii) The duration of this project is 5 weeks. And it was a collaborative work.iii) We have used Landsat and sentinel. We have worked on different water parameters like NDWI(The Normalized Difference Water Index), MNDWI(Modified Normalized Difference Water Index ), NDCI(Normalized Difference chlorophyll Index)), NDTI( Normalized… Show more i) I am selected as a collaborator at the Omdena local chapter. As a collaborator I am working on water monitoring system project using GIS and satellite imagery.ii) The duration of this project is 5 weeks. And it was a collaborative work.iii) We have used Landsat and sentinel. We have worked on different water parameters like NDWI(The Normalized Difference Water Index), MNDWI(Modified Normalized Difference Water Index ), NDCI(Normalized Difference chlorophyll Index)), NDTI( Normalized Difference Turbidity Index ),TEMPERATURE, DISSOLVE OXYGEN,NDSI(Modified Normalized Difference Snow Index ),WST(Water Surface Temperature), SSC, PH(Potential of Hydrogen).iv) It is the function of Landsat ee.ImageCollection('LANDSAT/LC08/C01/T1_SR') and it is the function of sentinel ee.ImageCollection('COPERNICUS/S2_SR'), which we have used for collecting data. We have collected real time data from 2018 to 2022.v) Then we have used EDA(Exploratory data analysis)process to visualise the real time data. From the visualisation we have analysed how all parameter value increased or decreased. Show less

i) It is a virtual internship and I have learned hands-on experience in this data science internship.ii) I completed 3 projects during this internship. First is Iris flower classification using regression. iii) Second is Car price prediction using linear regression. I did the prediction of car prices every year.iv) Email spam detection using regression algorithm.

i) It was a virtual internship. I was working on this internship in the month of September. ii) I did 2 simple machine learning project, first is prediction of student study hours using linear regression. and 2nd is prediction of iris data using logistic regression.