Worked on News Recommender project Bot 1 and worked on stemmer and lemmatizer and different kinds of stemmers. After getting poor results with stemmers removed stemmers altogether and used lemmatizers instead. Then did clustering with Kmeans and used an elbow curve method to find the number of clusters and used KMeans clustering with 5 clusters and found the clusters that means i got my news divided into 5 different clusters which i could recommend to user by my Bot 1.
Worked on project and completed the task that was to be completed today that is to detect the image of the customised when it passes a line or say a point i want it to pass which will help me in the trigger of my algorithm.
Worked on project and completed the task that was to be completed today that is to detect the image of the customised when it passes a line or say a point i want it to pass which will help me in the trigger of my algorithm.
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