Machine Learning Intern At Sabudh Foundation

Worked on News Recommender System again. Found more bunch of problems with it and need to fix it. Project: Worked upon a colleague's code as he handed it over to me trying to understand it and make sense out of it.

Working on Time series and its various Level, Trend and Seasonality.

Worked on Time Series Forecasting and worked various topics on Time Series like level, seasonality and Trend. Worked on various graphs and formed various equations on Additive and Multiplicative Seasonality. After that Worked continued on News Recommendation System Project Model.

Tried pretty hard for the collaborative model to make the dataframe in memory regarding the user profiles and got a new idea after whole day of trying which seems even more difficult to apply than in theory. Idea is to create a dataframe with user ids and the user profiles and each time read the user id and if the user id already exists then apply some function to overrite the data with the averages of the both and in  case it doesn't already exists create a new user id and its profile. Gotta try it tomorrow. Good Luck to me. :"D

As i completed the generative model first in the whole batch, i am now looking forward to complete the Collaborative Model that generates the Trending and nearby articles and will be working on it tomorrow. That would mean ending of the News Recommender System Model and will be working on something new, maybe and hopefully Post Tomorrow. Be Posted.

Worked on Generative model as we got another assignment for the day which is gathering the NN news which also is trending to the most user profiles and showing them which works as a collective news generation model.