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7 search results found
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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460
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation
Load_forecasting
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260
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Cryptopredictions
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49
CryptoCurrency prediction using machine learning and deep learning
Crypton X
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12
Cryptocurrency market cap-price prediction and visualization web app
Time Series Forecasting
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7
Python scripts for time series forecasting using ARIMA and LSTM recurrent neural networks
Stocks Prediction
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7
Predicting stocks and commodity prices using Python
Forecasting_future_sales
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5
Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.
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