Machine-Learning-MLOps-GenerativeAI-NLP-CV-MLSystem-Design
MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.
File Explorer
Download Latest Version (.zip)- Important Links-checkpoint.ipynb
- 1_Python-checkpoint.ipynb
- 2_Python -checkpoint.ipynb
- 3_Day - Notes-checkpoint.ipynb
- __init__.py
- descriptive.py
- inferential.py
- food.py
- indore.py
- main.py
- index.html
- .gitignore
- application.py
- 1_Python.ipynb
- 2_Python .ipynb
- 3_Day - Notes.ipynb
- 01_NumPy Understanding-checkpoint.ipynb
- NumPy Cookbook, Second Edition.pdf
- numpy-cheat-sheet.pdf
- numpy.pdf
- Numpy_Python_Cheat_Sheet.pdf
- 1-100 NumPy Exercises for Data Analysis.pdf
- numpy-reference 1.18.pdf
- numpy-user 1.18.pdf
- 01_NumPy Understanding.ipynb
- 02_Pandas-checkpoint.ipynb
- 03_Pandas and EDA Project-checkpoint.ipynb
- Learning pandas.pdf
- Mastering Pandas.pdf
- 02_Pandas.ipynb
- 03_Pandas and EDA Project.ipynb
- goa.xlsx
- indore.csv
- nyc_weather.csv
- stock_data.csv
- stocks_weather.xlsx
- titanic.csv
- weather_by_cities.csv
- weather_data.csv
- weather_data.xlsx
- weather_data2.csv
- weather_datamissing.csv
- 04_Matplotlib-checkpoint.ipynb
- hands-matplotlib-plotting-visualizations.pdf
- 04_Matplotlib.ipynb
- 05_Vectors and Matrix.ipynb
- 06_Eigenvalues Eigenvectors Factorization SVD PCA.ipynb
- 07_Tensor.ipynb
- t1.png
- t2.png
- t3.png
- t4.png
- v1.png
- v2.png
- v3.png
- v4.gif
- 2_LR complete.ipynb
- e.png
- five.png
- four.png
- MBASSData.csv
- one.png
- q.png
- r.png
- seven.png
- six.png
- t.png
- three.png
- two.png
- w.png
- winequality-red.csv
- 3_Multiple LR.ipynb
- e.png
- ee.png
- IPL IMB381IPL2013.csv
- q.png
- rr.png
- w.png
- 1_Linear Regression.ipynb
- areas.csv
- homeprices.csv
- 12_Logistic Regression.ipynb
- insurance_data.csv
- Titanic Evaluation.ipynb
- titanic.csv
- .DS_Store
- AmesHousing.csv
- Birthweight_reduced_kg_R.csv
- CarPrice_Assignment.csv
- Crime_R.csv
- data_loan.csv
- forbes.csv
- Health_insurance.csv
- SP_500_1987.csv
- 08_Descriptive Statistics.ipynb
- 09_Skewness Sampling and Central Limit Theorem.ipynb
- 10_Hypothesis Testing.ipynb
- 13_ANOVA Chi Square.ipynb
- 14_Probability and Naive Bayes.ipynb
- example_train1.csv
- Mushroom Subset.xlsx
- SMSSpamCollection+(1)
- 22_Regularization.ipynb
- diamonds.csv
- 21_Activation Functions.ipynb
- a1.png
- a2.png
- a3.png
- a5.png
- a6.png
- a7.jpg
- s4.png
- 23_Clustering.ipynb
- k1.png
- k2.png
- k3.jpg
- Live.csv
- 24_Anomaly Detection Analysis.ipynb
- Superstore.xls
- adult_dataset.csv
- diabetes_dataset.csv
- salaries.csv
- 15_Decision Tree.ipynb
- dt.png
- 16_Random Forest Ensemble Bagging Boosting.ipynb
- credit-card-default.csv
- 17_Neural Networks.ipynb
- n1.png
- n10.png
- n11.jpeg
- n2.png
- n3.png
- n4.png
- n5.png
- n6.png
- n7.png
- n8.png
- n9.png
- 18_Support Vector Machine.ipynb
- pulsar_data_train.csv
- s1.png
- s2.png
- s3.png
- s4.png
- 19_AdaBoost.ipynb
- a1.png
- a2.png
- a3.png
- heart.csv
- 20_XGBoost.ipynb
- adult.csv
- desktop.ini
- g1.png
- g2.png
- g3.png
- 1_NLP Fundamentals and PyTorch.ipynb
- 2_Amazon Lex Building Chatbot.ipynb
- n1.png
- n2.png
- n3.png
- Tensors.png
- test.csv
- train.csv
- index.html
- .gitignore
- app.py
- config.py
- requirements.txt
- t10k-images-idx3-ubyte
- t10k-images-idx3-ubyte.gz
- t10k-labels-idx1-ubyte
- t10k-labels-idx1-ubyte.gz
- train-images-idx3-ubyte
- train-images-idx3-ubyte.gz
- train-labels-idx1-ubyte
- train-labels-idx1-ubyte.gz
- 01_Fundamentals of GenerativeAI.ipynb
- 02_Project Notes.ipynb
- 03_Transformer.ipynb
- 04_Generative Adversarial Networks.ipynb
- code.html
- g1.jpg
- g2.png
- g3.png
- t1.gif
- t10.png
- t11.png
- t12.png
- t13.png
- t14.png
- t15.png
- t16.png
- t17.png
- t2.gif
- t3.png
- t4.gif
- t5.gif
- t6.gif
- t7.gif
- t8.png
- t9.png
- 1_Convolutional Neural Networks.ipynb
- 2_CNN with Cifar10.ipynb
- 3_Recurrent Neural Network.ipynb
- 4_LSTM and GRU.ipynb
- c1.png
- c10.png
- c11.png
- c12.png
- c13.png
- c14.png
- c15.png
- c16.png
- c2.png
- c4.png
- c5.png
- c6.png
- c7.png
- c8.png
- c9.png
- l1.png
- l2.png
- l3.gif
- l4.gif
- l5.gif
- l6.gif
- l7.png
- r1.png
- r2.png
- r3.png
- weather_dataset_raw.csv
- 1_2_3_MLOps Fundamentals.ipynb
- Data_Processing.ipynb
- mlflow.jpg
- ml-pipeline.ipynb
- joblib_model.joblib
- pickle_model.pkl
- regressor_parameters.txt
- retrained_rfr_model_checkpoint.joblib
- rfr_model_checkpoint.joblib
- text_classification_model.joblib
- .gitignore
- 4_Serializating ML Models.ipynb
- 5_Deploying ML Models for Prediction.ipynb
- CarPrice_Assignment.csv
- sentiment_analysis.csv
- server.py
- decision_model.pkl
- logistic_model.pkl
- support_model.pkl
- 6_ML models on Google Cloud Serverless.ipynb
- request.py
- sentiment_analysis.csv
- test_data_with_model.json
- mnist.py
- s1.png
- SageMaker Deployment.ipynb
- 01_02_Fundamentals of ML Systems.ipynb
- 03_Visual Search System.ipynb
- 04_Video Search System YouTube.ipynb
- 05_06_Video Recommendation System.ipynb
- v41.png
- v42.png
- v43.jpg
- v44.png
- v45.png
- v46.png
- vr1.png
- vr2.png
- vr3.png
- vr4.png
- vr5.jpg
- vr6.png
- 2_Resume.ipynb
- .gitignore
- Important Links.ipynb
- README.md
- Session Structure.ipynb
// repository documentation
Was this content helpful?
(0 ratings)