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11 Δεκ 2020 · I have a plan that gives the total price of the products and if the purchase is more than 200, it should give a 15% discount. But when displaying the final amount, it displays the zero: int count; printf("plz enter number of product :"); scanf("%d", &count); int price; int allprice; float discounted_price ;
The code implements a neural network model, PricePredictor, trained on historical stock price data to predict future stock prices, visualizing the predictions alongside historical prices and calculating the average of the predicted prices.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
A machine learning model to predict the selling price of goods to help an entrepreneur understand important pricing factors in the industry. Highly comprehensive analysis with all data cleaning, exploration, visualization, feature selection, model building, evaluation, and assumptions with validity steps explained in detail.
7 Ιαν 2018 · (1) Stock Price Prediction with ML in Python: LSTM (Long short-term memory) model In this series, we will discuss how we can make predictions about stock prices with machine learning...
7 Αυγ 2017 · Abstract. In this paper, we show how to apply machine learning to pricing and discounts. The goal is to create the optimal discounting strategy, which results in maximizing the total retail income.
19 Ιουλ 2024 · Building a Stock Price Prediction Model with CatBoost: A Hands-On Tutorial. Machine learning can simplify the difficult challenge of predicting share prices. CatBoost is one example of a machine learning tool. We'll look into CatBoost's role in stock price prediction in this blog article.
