In this video, we build a complete Data Science project from scratch and cover the entire workflow used in real-world industry projects. β Data Cleaning & Preprocessing β Exploratory Data Analysis (EDA) β Data Visualization & Graphs β Feature Engineering β Machine Learning Models β Deep Learning Concepts β LSTM Implementation β CNN Implementation β Model Evaluation & Performance Analysis β Business Insights & Conclusions This project is designed to help students, aspiring data analysts, data scientists, and machine learning enthusiasts understand how a complete end-to-end project is developed and presented. Whether you are building your portfolio, preparing for interviews, or learning Data Science, this project will give you practical exposure to industry-relevant concepts. π Project Files & Resources: π https://drive.google.com/drive/folders/1XKEapA1D--7-epJ4LeJV7_eAJPVIwX_y?usp=drive_link π Technologies Used: Python Pandas NumPy Matplotlib Seaborn Scikit-Learn TensorFlow / Keras LSTM CNN If you found this project helpful, don't forget to: π Like the video π¬ Leave a comment π Subscribe for more Data Science, AI, ML, Python, SQL, and Analytics content Part 1:- https://youtu.be/M822J5fwOFI Part 2:- https://youtu.be/crwnn0wUInM Part 3:- https://youtu.be/T-3pa5mtu9A #DataScience #MachineLearning #ArtificialIntelligence #Python #LSTM #CNN #DeepLearning #DataAnalytics #DataScienceProject #AI #ML #PortfolioProject #PythonProject #DataScientist #AnalyticsProject
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