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Chat bot is created with help of ML neural network tools such as LSTM. The main models used here are sequential, Scalar and soft max. Different layers of LSTM have been used here to bulit the model, the model is trained by facebook Q&A sets. Keras, tensorflow is the main library used here. Model has been trained to 300 epochs to evaluate with very high accuracy. The basics on how to build a chatbot is given accuratly by my model and my code is open sourced on git hub. Use of chatbot is it simulates and processes human conversation.
A weather app is a valuable tool that provides users with up-to-date information about atmospheric conditions in a specific location. These applications offer a range of features designed to enhance user experience and help individuals plan their activities based on the weather forecast.
This webpage has integrated chatbot in it to order much quickly and appropriately. IT's designed using basic code. This webpage is created by just HTML, CSS and JS the main motive is to show how to create a page for ordering items by different way using simple coding. Pizza is a dish of Italian origin consisting of a usually round, flat base of leavened wheat-based dough topped with tomatoes, cheese, and often various other ingredients, which is then baked at a high temperature, traditionally in a wood-fired oven. Sicilian pizzaem is pizza prepared in a manner that originated in Sicily, Italy.
In this paper we had used mainly two different types of models. One includes time varying regression models, which is evaluated in the basis of RMSE, MAE and R2 score, and 2nd is our classification model is evaluated on the basis of confusion matrix, precision, recall and f1-score. Over the detailed analysis of the models, we can give a well-defined result on the ML model which can predict the bitcoin market trend in the future with highest level of accuracy
