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Stock Market prediction is an everyday use case of Machine Learning. It allows you to analyze and predict the future values of company stock. In this video, you will learn how to predict stock prices using time series data. We'll implement machine learning algorithms using specific libraries in Python to predict the prices.<br>
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Stock Market Stock market is a place where buying and selling of shares happen for publicly listed companies. Stock exchange is the mediator that allows buying and selling of shares
Importance of Stock Market • Helps companies to raise capital • Helps create personal wealth • Serves as an indicator of the state • of the economy • Helps to increase investment
Stock Market Prediction Stock Market Prediction helps you determine the future value of company stock and other financial instruments traded on an exchange
Linear Regression Linear Regression is a supervised learning algorithm to predict the outcome of a continuous variable
Ice creams sold based on temperature Linear Regression The regression line gives the predicted output, i.e., units sold based on the input feature, i.e., temperature 400 300 Units sold 200 100 0 25 35 30 40 45 Temperature Y = m x + c *
Long Short Term Memory LTSMs are a type of Recurrent Neural Network for learning long-term dependencies. It is commonly used for processing and predicting on the basis of time-series data
Long Short Term Memory Ct-1 Ct Forget irrelevant parts of previous state Selectively update cell state values Output certain parts of cell state Step 1 Step 2 Step 3
1 VB. NET Reasons For Decline: • The language is seen to be bulky and clumsy • Work nowadays usually involves maintaining legacy applications or migrating to C# • Capabilities are limited to the Windows platform • Harsh declaration syntax and requirements, a rigid development environment and a lack of libraries