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This tutorial on Stock Prediction Using Machine Learning by Simplilearn, explores how machine learning can be used to forecast stock price movements using real market data and Python-based modeling techniques. You’ll learn how to collect, clean, and prepare financial datasets, along with understanding patterns, trends, and correlations that influence price behaviour. The session covers key ML models such as Linear Regression, LSTM, and Random Forest, explaining why each performs differently in volatile markets. You’ll walk through step-by-step Python implementations, feature engineering methods, and evaluation metrics. The tutorial also highlights risks, limitations, and the importance of avoiding overfitting when dealing with unpredictable financial markets. By the end, you’ll understand how to build, test, and interpret a complete stock prediction pipeline—an essential project for anyone learning machine learning with Python.
Following are the topics covered in the Stock Prediction Using Machine Learning Tutorial:
00:00:00 Introduction to Stock Price Prediction Using Machine Learning
00:01:01 What is Stock Price Prediction?
00:03:34 Why is Stock Price Prediction is Important?
00:06:11 Different Time Series Forecasting Algorithms
00:06:44 Autoaggressive Model or AR Model
00:14:46 Moving Average Model
00:19:25 ARIMA Model (AutoAggessive Integrated Moving Average Model)
00:23:30 SARIMA Model (Seasonal AutoAggessive Integrated Moving Average Model)
00:26:43 SARIMAX (Seasonal ARIMA with Exogenous Variables)
00:29:21 Challenges in Stock Price Forecasting
00:30:50 Demonstration on Stock Price Prediction Using Machine Learning
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➡️ About Professional Certificate Course in Generative AI and Machine Learning
The Generative AI and Machine Learning course enriches your career with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it features live virtual sessions, projects with integrated labs, and masterclasses by eminent IIT Kanpur faculty.
Key Features
✅ Program completion certificate from E&ICT Academy, IIT Kanpur
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Curriculum delivered in live virtual classroom sessions by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses presented by esteemed IIT Kanpur faculty
✅ Practical learning through 15+ hands-on projects and industry relevant tools
✅ Access to a wide array of AI tools such as ChatGPT, DALL-E 2, TensorFlow, Keras, and more
✅ Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals’ on the Microsoft Learn portal
Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with Keras and TensorFlow
✅ Essentials of GenAI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ Large Language Models
✅ Generative AI Architectures
✅ Generative AI Models
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition
✅ Supervised and Unsupervised Learning
✅ Model Evaluation and Validation
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