Hi

I am looking for challenging Project which will give boost to My Carrer

hi,i am looking out for more Challanginng Projects

Hi i am skilled With data science Projects like credit risk analyst, deep learning, NLP,Tableau

Developed data Analysis skills based on using decision tree.

Worked on a project related to Financial Markets wherein I had to examine the trust worthiness of a prospective customer and his/her possibility of defaulting on loan The task was to build a Behavioural Credit Risk Model based on a large sample of data by applying Logistic Regression. The data had various information related to behaviour transactional details of the customers and their performance in repayment. There were number of validation checks which were performed to test the robustness of the model under taken in terms of various goodness–of–fit statistics. There were number of goodness of fit statistics which we had considered like Percent Concordant, Hosmer – Lemeshow test, Wald – chi square and score tests.

The dataset is a sample data from a leading TV streaming app like Hotstar or Netflix. The main problem the app is facing is, when they launched a particular show, the TRP and viewership was very good. But with time, the viewership declined. So the app owners are willing to find out what caused decline in their viewership. Help company solve this problem by Machine Learning!

I Have convert the image to black and white. We will use Thresholding to do so. Adaptive thresholding will determine when to set the image to black or white relative to the pixels environment. That is usefull given the different shades of grey in the image. Otsu Thresholding will calculate a threshold value from the image histogram. We will also try applying a Blur to remove the noise on the image (the fading on the 4th letter).