PG-Certificate-Course-in-AI-Machine-Learning-and-Data-Science-Batch-1-2024-

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
class_work		class_work
computer_vision_cnn		computer_vision_cnn
processing_sequences_using_rnn_cnns		processing_sequences_using_rnn_cnns
reinforcement_learning		reinforcement_learning
1. Numpy.ipynb		1. Numpy.ipynb
10. introduction_to_ann_with_keras.ipynb		10. introduction_to_ann_with_keras.ipynb
11. training_deep_neural_networks.ipynb		11. training_deep_neural_networks.ipynb
2. end_to_end_machine_learning_project.ipynb		2. end_to_end_machine_learning_project.ipynb
3. classification_1st.ipynb		3. classification_1st.ipynb
3. classification_2.ipynb		3. classification_2.ipynb
4. training_linear_models.ipynb		4. training_linear_models.ipynb
5. decision_trees.ipynb		5. decision_trees.ipynb
6. ensemble_and_randomforest.ipynb		6. ensemble_and_randomforest.ipynb
7. dimensionality_reduction.ipynb		7. dimensionality_reduction.ipynb
8. naive_bayes.ipynb		8. naive_bayes.ipynb
9. backprop_from_scratch.ipynb		9. backprop_from_scratch.ipynb
Discussion - jun 9 2024.ipynb		Discussion - jun 9 2024.ipynb
Discussion- 26 June QA.ipynb		Discussion- 26 June QA.ipynb
Nov22 - CV.ipynb		Nov22 - CV.ipynb
README.md		README.md
Sep 22 - 2024.ipynb		Sep 22 - 2024.ipynb
autoencoders_and_gans.ipynb		autoencoders_and_gans.ipynb
cnn.ipynb		cnn.ipynb
natural_language_processing_classical_approach.ipynb		natural_language_processing_classical_approach.ipynb
nov2.ipynb		nov2.ipynb

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