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  Stock Prices Predictor using TimeSeries

  To build a stock prices predictor application to predict the stock prices of the future. Stock market data contain time series data like index prices, returns, volatility, and interest rates. This Project predicts the future stock prices based on the company’s performance. It predicts the price movement for 6 months based on the company’s report. The Stock market data are gathered from kaggie.com, quantinsti.com. Use forecasting methods available for different time series to predict the stock price.

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  Loan Eligibility Prediction

  Develop Loan Eligibility Prediction Project to predict the eligibility for a loan for better planning. Loans play a major role in everyone’s life to satisfy their financial needs. It helps the individuals and companies to move forward in their success path. As getting loan approval from banks is a tedious process, predicting the result of the loan will be very helpful. Gather historical data on loan applicants and Convert categorical variables into numerical representations. Explore correlations between features and the target variable for loan approval.

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  Coupon Purchase Prediction

  Build Coupon Purchase Prediction System to motivate the customers to increase the sales. Coupon is a technique used to promote their business using discounts and promo codes. This Project predicts whether a customer purchases a product using a label or not. The Predication is performed based on customer details like purchasing history, user demographics, coupon details and more. Convert categorical variables into numerical representations using techniques like one-hot encoding. To predict the purchase use Machine learning algorithms like Logistic Regression, Decision Trees and Random Forest.