Deep learning project in Hindi | Potato Disease Classification - 2 :Data collection, preprocessing

📺 End to end deep learning project for potato disease classification. In this session, we will cover, ⭐️ Timestamps ⭐️ 00:00 Three ways of collecting data 01:53 Coding begins 04:33 Load data into tf.Dataset 12:17 Data visualization 16:02 Train test split 26:44 Data augmentation Code: https://github.com/codebasics/potato-disease-classification/blob/main/training/potato-disease-classification-model.ipynb Dataset is taken from Kaggle: https://www.kaggle.com/arjuntejaswi/plant-village Project Playlist : https://www.youtube.com/playlist?list=PLPbgcxheSpE1gl5WkrwtmRiCwiGMM8NdH Project english Playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3ut49PskOfLnE6WUoOp_2lsD 🎥 Codebasics English Channel: https://www.youtube.com/c/codebasics #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🌎 Website: https://www.skillbasics.com/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.