In this video, we build a complete Data Science project from scratch and cover the entire workflow used in real-world industry projects. โ Data Cleaning & Preprocessing โ Exploratory Data Analysis (EDA) โ Data Visualization & Graphs โ Feature Engineering โ Machine Learning Models โ Deep Learning Concepts โ LSTM Implementation โ CNN Implementation โ Model Evaluation & Performance Analysis โ 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. ๐ Project Files & Resources: ๐ https://drive.google.com/drive/folders/1XKEapA1D--7-epJ4LeJV7_eAJPVIwX_y?usp=drive_link ๐ Technologies Used: Python Pandas NumPy Matplotlib Seaborn Scikit-Learn TensorFlow / Keras LSTM CNN If you found this project helpful, don't forget to: ๐ Like the video ๐ฌ Leave a comment ๐ 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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