I have to download these data set through Amazon review data set website,It contains the ratings of the Amazon cell phones and accessories,here I using the Surprise module to build the project and convert data set into user-item intraction then finding the lower and upper ratings,load our data set into surprise module and finally using the SVD++ algorithm we should recommend the data sets

I have to download these data set into Kaggle website.This data set contains the images of the cats and dogs and the aim is to classify the image of the cats and dogs,here I using the Transfer learning technique to build our project,first we have to resize the image of the data sets then using image laibraries like OpenCV and using cv2 packages Ihave to classify the Images of the cats and dogs

Analyse the last five days tweets of Redmi note 8 pro, achieving more number ofpositive tweets than negative tweets.

Analyse the credit card data set for customer, achieving 4 clusters and conclude thatcluster 3 is the highest payable customers.

Creating the Trip planner bot which includes booking flight, car and room.

LTFS receives a lot of requests for its various financial offering , that include thehouse loan, two wheeler loan , real estate financial and micro loan. The number ofapplications received is something that varies lot with a season. Here the task is toforecasts the daily cases for the next 3 months.

Here the data set contains the images of the cats and dogs. Which contains the twofolders train folder which contains the images of the cats and dogs and test folderwhich contains images named according the numeric id. For each image in the test folder need to predict the probability(1=dog,0=cat),accordingly we classify theimages of the cats and dogs

Here working as a frontend developer as well as some knowledge on backend also