Learn to predict stock prices using the incredible potential of AI and machine learning in our comprehensive course! Gain hands-on experience in data analysis, regression models, time series analysis, LSTM and CNN networks, ensemble methods, and model evaluation. By course end, you'll possess the skills to develop accurate stock price prediction models for real-world success. Join now and seize the opportunity to make informed investment decisions. Day 1: Introduction to Stock Price Prediction Day 2: Data Collection and Preprocessing Day 3: Exploratory Data Analysis Day 4: Linear Regression Models Project 1: Build a Linear Regression Model for Stock Price Prediction. Day 5: Time Series Analysis Day 6: ARIMA and SARIMA Models Project 2: Implement ARIMA/SARIMA Models for Stock Price Prediction. Day 7: Long Short-Term Memory (LSTM) Networks Day 8: Convolutional Neural Networks (CNNs) for Stock Price Prediction Project 3: Develop an LSTM or CNN Model for Stock Price Prediction. Day 9: Ensemble Methods and Model Stacking Day 10: Model Evaluation and Deployment Project 4: Deploy a Stock Price Prediction Model. Throughout the course, engage in hands-on learning through four exciting projects that reinforce your knowledge and skills in stock price prediction. So what are you waiting for enroll in this course right now to dive into the amazing world of AI.