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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1. Activity Linear Regression.mp4 |
92.96MB |
| 1. Activity Linear Regression.vtt |
19.51KB |
| 1. Activity The OpenAI Chat Completions API.mp4 |
65.41MB |
| 1. Activity The OpenAI Chat Completions API.vtt |
20.58KB |
| 1. BiasVariance Tradeoff.mp4 |
23.63MB |
| 1. BiasVariance Tradeoff.vtt |
10.67KB |
| 1. Chat-Completions.py |
1.15KB |
| 1. Deep Learning Pre-Requisites.mp4 |
70.40MB |
| 1. Deep Learning Pre-Requisites.vtt |
21.72KB |
| 1. Deploying Models to Real-Time Systems.mp4 |
17.22MB |
| 1. Deploying Models to Real-Time Systems.vtt |
15.70KB |
| 1. Introduction.mp4 |
18.75MB |
| 1. Introduction.vtt |
5.13KB |
| 1. K-Nearest-Neighbors Concepts.mp4 |
14.04MB |
| 1. K-Nearest-Neighbors Concepts.vtt |
6.57KB |
| 1. More to Explore.mp4 |
33.99MB |
| 1. More to Explore.vtt |
5.71KB |
| 1. Retrieval Augmented Generation (RAG) How it works, with some examples.mp4 |
92.89MB |
| 1. Retrieval Augmented Generation (RAG) How it works, with some examples.vtt |
30.89KB |
| 1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 |
56.68MB |
| 1. Supervised vs. Unsupervised Learning, and TrainTest.vtt |
16.13KB |
| 1. The Transformer Architecture (encoders, decoders, and self-attention.).mp4 |
19.78MB |
| 1. The Transformer Architecture (encoders, decoders, and self-attention.).vtt |
18.56KB |
| 1. Types of Data (Numerical, Categorical, Ordinal).mp4 |
73.10MB |
| 1. Types of Data (Numerical, Categorical, Ordinal).vtt |
12.01KB |
| 1. User-Based Collaborative Filtering.mp4 |
81.69MB |
| 1. User-Based Collaborative Filtering.vtt |
14.44KB |
| 1. Variational Auto-Encoders (VAE's) - how they work.mp4 |
42.88MB |
| 1. Variational Auto-Encoders (VAE's) - how they work.vtt |
18.05KB |
| 1. Warning about Java 21+ and Spark 3!.html |
1.03KB |
| 1. Your final project assignment Mammogram Classification.mp4 |
51.60MB |
| 1. Your final project assignment Mammogram Classification.vtt |
11.97KB |
| 10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4 |
263.83MB |
| 10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.vtt |
28.28KB |
| 10. Activity Covariance and Correlation.mp4 |
69.48MB |
| 10. Activity Covariance and Correlation.vtt |
19.67KB |
| 10. Activity LINUX Installing Graphviz.mp4 |
2.48MB |
| 10. Activity LINUX Installing Graphviz.vtt |
1.15KB |
| 10. Activity Python Basics, Part 3 Optional.mp4 |
2.44MB |
| 10. Activity Python Basics, Part 3 Optional.vtt |
4.39KB |
| 10. Activity Searching Wikipedia with Spark.mp4 |
84.01MB |
| 10. Activity Searching Wikipedia with Spark.vtt |
12.89KB |
| 10. Activity Using small and large GPT models within Google CoLab and HuggingFace.mp4 |
69.01MB |
| 10. Activity Using small and large GPT models within Google CoLab and HuggingFace.vtt |
8.96KB |
| 10. Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 |
42.72MB |
| 10. Binning, Transforming, Encoding, Scaling, and Shuffling.vtt |
14.10KB |
| 10. Convolutional Neural Networks (CNN's).mp4 |
58.73MB |
| 10. Convolutional Neural Networks (CNN's).vtt |
20.75KB |
| 10. Data_Agent.ipynb |
83.34KB |
| 11. Activity Fine Tuning GPT with the IMDb dataset.mp4 |
85.20MB |
| 11. Activity Fine Tuning GPT with the IMDb dataset.vtt |
11.14KB |
| 11. Activity Python Basics, Part 4 Optional.mp4 |
5.72MB |
| 11. Activity Python Basics, Part 4 Optional.vtt |
5.96KB |
| 11. Activity Using CNN's for handwriting recognition.mp4 |
52.82MB |
| 11. Activity Using CNN's for handwriting recognition.vtt |
13.96KB |
| 11. Activity Using the Spark DataFrame API for MLLib.mp4 |
65.11MB |
| 11. Activity Using the Spark DataFrame API for MLLib.vtt |
12.85KB |
| 11. Decision Trees Concepts.mp4 |
81.50MB |
| 11. Decision Trees Concepts.vtt |
15.49KB |
| 11. Exercise Conditional Probability.mp4 |
93.95MB |
| 11. Exercise Conditional Probability.vtt |
28.22KB |
| 12. Activity Decision Trees Predicting Hiring Decisions.mp4 |
57.79MB |
| 12. Activity Decision Trees Predicting Hiring Decisions.vtt |
16.66KB |
| 12. Exercise Solution Conditional Probability of Purchase by Age.mp4 |
15.01MB |
| 12. Exercise Solution Conditional Probability of Purchase by Age.vtt |
4.01KB |
| 12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.mp4 |
51.12MB |
| 12. From GPT to ChatGPT Deep Reinforcement Learning, Proximal Policy Gradients.vtt |
13.26KB |
| 12. Introducing the Pandas Library Optional.mp4 |
44.15MB |
| 12. Introducing the Pandas Library Optional.vtt |
18.15KB |
| 12. Recurrent Neural Networks (RNN's).mp4 |
32.81MB |
| 12. Recurrent Neural Networks (RNN's).vtt |
19.16KB |
| 13. Activity Using a RNN for sentiment analysis.mp4 |
73.55MB |
| 13. Activity Using a RNN for sentiment analysis.vtt |
17.11KB |
| 13. Bayes' Theorem.mp4 |
56.12MB |
| 13. Bayes' Theorem.vtt |
8.68KB |
| 13. Ensemble Learning.mp4 |
36.96MB |
| 13. Ensemble Learning.vtt |
10.62KB |
| 13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.mp4 |
28.47MB |
| 13. From GPT to ChatGPT Reinforcement Learning from Human Feedback and Moderation.vtt |
10.67KB |
| 14. Activity Transfer Learning.mp4 |
111.05MB |
| 14. Activity Transfer Learning.vtt |
20.89KB |
| 14. Activity XGBoost.mp4 |
79.28MB |
| 14. Activity XGBoost.vtt |
28.04KB |
| 15. Support Vector Machines (SVM) Overview.mp4 |
16.35MB |
| 15. Support Vector Machines (SVM) Overview.vtt |
7.89KB |
| 15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.mp4 |
8.50MB |
| 15. Tuning Neural Networks Learning Rate and Batch Size Hyperparameters.vtt |
8.58KB |
| 16. Activity Using SVM to cluster people using scikit-learn.mp4 |
38.49MB |
| 16. Activity Using SVM to cluster people using scikit-learn.vtt |
16.65KB |
| 16. Deep Learning Regularization with Dropout and Early Stopping.mp4 |
19.84MB |
| 16. Deep Learning Regularization with Dropout and Early Stopping.vtt |
11.61KB |
| 17. The Ethics of Deep Learning.mp4 |
120.50MB |
| 17. The Ethics of Deep Learning.vtt |
20.58KB |
| 2. AB Testing Concepts.mp4 |
32.02MB |
| 2. AB Testing Concepts.vtt |
15.50KB |
| 2. Activity K-Fold Cross-Validation to avoid overfitting.mp4 |
56.90MB |
| 2. Activity K-Fold Cross-Validation to avoid overfitting.vtt |
17.20KB |
| 2. Activity Polynomial Regression.mp4 |
60.55MB |
| 2. Activity Polynomial Regression.vtt |
13.14KB |
| 2. Activity Using KNN to predict a rating for a movie.mp4 |
85.54MB |
| 2. Activity Using KNN to predict a rating for a movie.vtt |
20.04KB |
| 2. Activity Using Tools and Functions in the OpenAI Chat Completion API.mp4 |
81.12MB |
| 2. Activity Using Tools and Functions in the OpenAI Chat Completion API.vtt |
17.82KB |
| 2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 |
21.62MB |
| 2. Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt |
9.93KB |
| 2. Data_RAG.ipynb |
100.43KB |
| 2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 |
72.49MB |
| 2. Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.vtt |
33.52KB |
| 2. Don't Forget to Leave a Rating!.html |
564B |
| 2. Final project review.mp4 |
64.49MB |
| 2. Final project review.vtt |
18.45KB |
| 2. Functions.py |
3.45KB |
| 2. Item-Based Collaborative Filtering.mp4 |
23.20MB |
| 2. Item-Based Collaborative Filtering.vtt |
14.83KB |
| 2. Mean, Median, Mode.mp4 |
15.96MB |
| 2. Mean, Median, Mode.vtt |
9.66KB |
| 2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.mp4 |
41.50MB |
| 2. Self-Attention, Masked Self-Attention, and Multi-Headed Self Attention in depth.vtt |
17.93KB |
| 2. Spark installation notes for MacOS and Linux users.html |
3.15KB |
| 2. The History of Artificial Neural Networks.mp4 |
68.87MB |
| 2. The History of Artificial Neural Networks.vtt |
20.07KB |
| 2. Udemy 101 Getting the Most From This Course.mp4 |
17.40MB |
| 2. Udemy 101 Getting the Most From This Course.vtt |
4.14KB |
| 2. VariationalAutoEncoders.ipynb |
1.33MB |
| 2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 |
148.84MB |
| 2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.vtt |
45.35KB |
| 3. 2019-04-08_17-55-57-bcf2d7bf9cef514f135511b184f77e48.png |
132.45KB |
| 3. 2019-04-08_18-01-48-cf6d9b7536a1e4a75438299681428036.png |
121.76KB |
| 3. 2019-04-08_18-03-42-4930e7b3a27d368a568d97fd8c959359.png |
121.43KB |
| 3. 2019-04-08_18-04-33-85f2594b9a584964a59514617b27f95b.png |
111.60KB |
| 3. 2019-04-08_18-15-28-b861b8ffb2406e3f70aad5871e4e91ff.png |
132.58KB |
| 3. 2019-04-08_18-17-01-1a5b2a5d579cfb42118eaf525e7a7b83.png |
127.64KB |
| 3. 2019-04-08_18-17-59-492c9dc76de5ed12f532ead3e609f148.png |
126.71KB |
| 3. 2019-04-08_18-19-48-5bc03a831100a771082c4245e271a4b0.png |
114.68KB |
| 3. 2019-04-08_18-20-39-de5ee610f1e6e8e483229fd1c9d7e998.png |
92.84KB |
| 3. 2019-04-08_18-21-33-2ee7f2d5dff7cccfd9f4103899aa6cc0.png |
59.56KB |
| 3. 2019-04-08_19-24-33-63d41c7c27f7ed6e9ca0e1072e6c2751.jpg |
45.50KB |
| 3. 2019-05-14_17-14-40-e1d4913408ac3d0f1eaad1a80705cf5b.png |
102.23KB |
| 3. 2019-10-23_18-48-57-9fb797c585d7195417eca364a27b07c9.jpg |
23.69KB |
| 3. 2021-10-16_12-16-09-e3dd0e05ba917baf745a42fc35a0cbb2.jpg |
70.62KB |
| 3. 2022-04-18_13-12-40-afb201ce74196d83694608d7fc39a43e.png |
60.08KB |
| 3. 2022-07-23_11-27-36-c40b770315b5187e58bca3c2542ee3b4.png |
83.49KB |
| 3. 2024-07-26_12-45-38-32f4df5ac9105153f0fd5c7fdab93d89.png |
92.38KB |
| 3. 2024-08-06_13-32-36-7f6c6c13c6b331d2282e71ed3e362b48.jpg |
31.79KB |
| 3. 2024-08-19_12-50-25-5160f601d41d2a72d06a9c0d700cad51.png |
83.13KB |
| 3. Activity Deep Learning in the Tensorflow Playground.mp4 |
55.69MB |
| 3. Activity Deep Learning in the Tensorflow Playground.vtt |
19.86KB |
| 3. Activity Finding Movie Similarities using Cosine Similarity.mp4 |
82.67MB |
| 3. Activity Finding Movie Similarities using Cosine Similarity.vtt |
14.90KB |
| 3. Activity Installing Spark.mp4 |
141.36MB |
| 3. Activity Installing Spark.vtt |
17.61KB |
| 3. Activity Multiple Regression, and Predicting Car Prices.mp4 |
94.14MB |
| 3. Activity Multiple Regression, and Predicting Car Prices.vtt |
28.47KB |
| 3. Activity The Images (DALL-E) API in OpenAI.mp4 |
25.79MB |
| 3. Activity The Images (DALL-E) API in OpenAI.vtt |
7.30KB |
| 3. Activity Using mean, median, and mode in Python.mp4 |
44.50MB |
| 3. Activity Using mean, median, and mode in Python.vtt |
15.74KB |
| 3. Applications of Transformers (GPT).mp4 |
9.58MB |
| 3. Applications of Transformers (GPT).vtt |
8.45KB |
| 3. Bayesian Methods Concepts.mp4 |
9.83MB |
| 3. Bayesian Methods Concepts.vtt |
6.79KB |
| 3. Bonus Lecture.html |
11.02KB |
| 3. Data Cleaning and Normalization.mp4 |
73.09MB |
| 3. Data Cleaning and Normalization.vtt |
13.41KB |
| 3. Dimensionality Reduction Principal Component Analysis (PCA).mp4 |
38.13MB |
| 3. Dimensionality Reduction Principal Component Analysis (PCA).vtt |
9.70KB |
| 3. Generative Adversarial Networks (GAN's) - How they work.mp4 |
15.24MB |
| 3. Generative Adversarial Networks (GAN's) - How they work.vtt |
13.28KB |
| 3. Image.py |
664B |
| 3. Important note.html |
575B |
| 3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.mp4 |
25.05MB |
| 3. RAG Metrics The RAG Triad, relevancy, recall, precision, accuracy, and more.vtt |
19.64KB |
| 3. T-Tests and P-Values.mp4 |
14.08MB |
| 3. T-Tests and P-Values.vtt |
10.24KB |
| 4. Activity Cleaning web log data.mp4 |
31.01MB |
| 4. Activity Cleaning web log data.vtt |
18.05KB |
| 4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4 |
270.77MB |
| 4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.vtt |
31.37KB |
| 4. Activity Hands-on With T-Tests.mp4 |
47.77MB |
| 4. Activity Hands-on With T-Tests.vtt |
10.31KB |
| 4. Activity Implementing a Spam Classifier with Naive Bayes.mp4 |
81.39MB |
| 4. Activity Implementing a Spam Classifier with Naive Bayes.vtt |
13.71KB |
| 4. Activity Improving the Results of Movie Similarities.mp4 |
56.06MB |
| 4. Activity Improving the Results of Movie Similarities.vtt |
13.42KB |
| 4. Activity PCA Example with the Iris data set.mp4 |
65.77MB |
| 4. Activity PCA Example with the Iris data set.vtt |
14.93KB |
| 4. Activity The Embeddings API in OpenAI Finding similarities between words.mp4 |
28.96MB |
| 4. Activity The Embeddings API in OpenAI Finding similarities between words.vtt |
11.10KB |
| 4. Activity Variation and Standard Deviation.mp4 |
103.39MB |
| 4. Activity Variation and Standard Deviation.vtt |
19.08KB |
| 4. Data_RAG_Metrics.ipynb |
71.97KB |
| 4. Deep Learning Details.mp4 |
30.90MB |
| 4. Deep Learning Details.vtt |
17.46KB |
| 4. Embedding.py |
964B |
| 4. Generative Adversarial Networks (GAN's) - Playing with some demos.mp4 |
88.60MB |
| 4. Generative Adversarial Networks (GAN's) - Playing with some demos.vtt |
18.08KB |
| 4. How GPT Works, Part 1 The GPT Transformer Architecture.mp4 |
30.27MB |
| 4. How GPT Works, Part 1 The GPT Transformer Architecture.vtt |
13.29KB |
| 4. Installation Getting Started.html |
1.21KB |
| 4. Multi-Level Models.mp4 |
27.22MB |
| 4. Multi-Level Models.vtt |
8.21KB |
| 4. Spark Introduction.mp4 |
24.96MB |
| 4. Spark Introduction.vtt |
15.94KB |
| 5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 |
124.11MB |
| 5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.vtt |
16.90KB |
| 5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 |
101.97MB |
| 5. Activity WINDOWS Installing and Using Anaconda & Course Materials.vtt |
17.15KB |
| 5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.mp4 |
29.46MB |
| 5. Advanced RAG Pre-Retrieval chunking semantic chunking data extraction.vtt |
14.42KB |
| 5. Data Warehousing Overview ETL and ELT.mp4 |
58.71MB |
| 5. Data Warehousing Overview ETL and ELT.vtt |
14.97KB |
| 5. Determining How Long to Run an Experiment.mp4 |
9.75MB |
| 5. Determining How Long to Run an Experiment.vtt |
6.45KB |
| 5. GAN_on_Fashion_MNIST.ipynb |
3.75MB |
| 5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 |
126.11MB |
| 5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.vtt |
26.81KB |
| 5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.mp4 |
14.76MB |
| 5. How GPT Works, Part 2 Tokenization, Positional Encoding, Embedding.vtt |
8.94KB |
| 5. Introducing Tensorflow.mp4 |
46.63MB |
| 5. Introducing Tensorflow.vtt |
21.67KB |
| 5. K-Means Clustering.mp4 |
26.02MB |
| 5. K-Means Clustering.vtt |
12.99KB |
| 5. Normalizing numerical data.mp4 |
10.32MB |
| 5. Normalizing numerical data.vtt |
6.06KB |
| 5. Probability Density Function Probability Mass Function.mp4 |
6.92MB |
| 5. Probability Density Function Probability Mass Function.vtt |
5.96KB |
| 5. Spark and the Resilient Distributed Dataset (RDD).mp4 |
22.30MB |
| 5. Spark and the Resilient Distributed Dataset (RDD).vtt |
20.00KB |
| 5. The Legacy Fine-Tuning API for GPT Models in OpenAI.mp4 |
11.68MB |
| 5. The Legacy Fine-Tuning API for GPT Models in OpenAI.vtt |
9.58KB |
| 6. AB Test Gotchas.mp4 |
91.73MB |
| 6. AB Test Gotchas.vtt |
17.25KB |
| 6. Activity Clustering people based on income and age.mp4 |
21.99MB |
| 6. Activity Clustering people based on income and age.vtt |
9.20KB |
| 6. Activity Detecting outliers.mp4 |
27.15MB |
| 6. Activity Detecting outliers.vtt |
11.14KB |
| 6. Activity MAC Installing and Using Anaconda & Course Materials.mp4 |
95.78MB |
| 6. Activity MAC Installing and Using Anaconda & Course Materials.vtt |
13.97KB |
| 6. Activity Using Tensorflow, Part 1.mp4 |
107.70MB |
| 6. Activity Using Tensorflow, Part 1.vtt |
22.93KB |
| 6. Advanced RAG Query Rewriting.mp4 |
8.07MB |
| 6. Advanced RAG Query Rewriting.vtt |
7.15KB |
| 6. Common Data Distributions (Normal, Binomial, Poisson, etc).mp4 |
28.25MB |
| 6. Common Data Distributions (Normal, Binomial, Poisson, etc).vtt |
12.06KB |
| 6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 |
166.50MB |
| 6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.vtt |
29.36KB |
| 6. Exercise Improve the recommender's results.mp4 |
28.00MB |
| 6. Exercise Improve the recommender's results.vtt |
10.13KB |
| 6. extract-script.py |
1.88KB |
| 6. Fine Tuning Transfer Learning with Transformers.mp4 |
5.05MB |
| 6. Fine Tuning Transfer Learning with Transformers.vtt |
4.61KB |
| 6. Introducing MLLib.mp4 |
14.65MB |
| 6. Introducing MLLib.vtt |
8.74KB |
| 6. Learning More about Deep Learning.mp4 |
20.21MB |
| 6. Learning More about Deep Learning.vtt |
3.18KB |
| 6. Reinforcement Learning.mp4 |
125.18MB |
| 6. Reinforcement Learning.vtt |
20.99KB |
| 7. Activity LINUX Installing and Using Anaconda & Course Materials.mp4 |
60.14MB |
| 7. Activity LINUX Installing and Using Anaconda & Course Materials.vtt |
14.83KB |
| 7. Activity Percentiles and Moments.mp4 |
42.56MB |
| 7. Activity Percentiles and Moments.vtt |
22.01KB |
| 7. Activity Reinforcement Learning & Q-Learning with Gym.mp4 |
62.79MB |
| 7. Activity Reinforcement Learning & Q-Learning with Gym.vtt |
22.01KB |
| 7. Activity Tokenization with Google CoLab and HuggingFace.mp4 |
67.74MB |
| 7. Activity Tokenization with Google CoLab and HuggingFace.vtt |
15.45KB |
| 7. Activity Using Tensorflow, Part 2.mp4 |
95.13MB |
| 7. Activity Using Tensorflow, Part 2.vtt |
20.65KB |
| 7. Advanced RAG Prompt Compression, and More Tuning Opportunities.mp4 |
21.48MB |
| 7. Advanced RAG Prompt Compression, and More Tuning Opportunities.vtt |
10.54KB |
| 7. Feature Engineering and the Curse of Dimensionality.mp4 |
14.56MB |
| 7. Feature Engineering and the Curse of Dimensionality.vtt |
11.64KB |
| 7. Introduction to Decision Trees in Spark.mp4 |
133.95MB |
| 7. Introduction to Decision Trees in Spark.vtt |
27.55KB |
| 7. MakingData.ipynb |
13.57KB |
| 7. Measuring Entropy.mp4 |
12.14MB |
| 7. Measuring Entropy.vtt |
5.38KB |
| 7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 |
318.98MB |
| 7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.vtt |
37.92KB |
| 7. Transformers_MLCourse.ipynb |
6.69MB |
| 8. Activity A Crash Course in matplotlib.mp4 |
88.69MB |
| 8. Activity A Crash Course in matplotlib.vtt |
18.87KB |
| 8. Activity Introducing Keras.mp4 |
72.03MB |
| 8. Activity Introducing Keras.vtt |
23.73KB |
| 8. Activity K-Means Clustering in Spark.mp4 |
116.14MB |
| 8. Activity K-Means Clustering in Spark.vtt |
17.59KB |
| 8. Activity Positional Encoding.mp4 |
6.46MB |
| 8. Activity Positional Encoding.vtt |
3.63KB |
| 8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4 |
264.42MB |
| 8. Activity Simulating Cdr. Data with Advanced RAG and langchain.vtt |
27.62KB |
| 8. Activity The OpenAI Moderation API.mp4 |
16.21MB |
| 8. Activity The OpenAI Moderation API.vtt |
5.06KB |
| 8. Activity WINDOWS Installing Graphviz.mp4 |
949.33KB |
| 8. Activity WINDOWS Installing Graphviz.vtt |
745B |
| 8. Data_Advanced_RAG.ipynb |
763.57KB |
| 8. Imputation Techniques for Missing Data.mp4 |
18.20MB |
| 8. Imputation Techniques for Missing Data.vtt |
14.37KB |
| 8. Moderation.py |
166B |
| 8. Python Basics, Part 1 Optional.mp4 |
26.90MB |
| 8. Python Basics, Part 1 Optional.vtt |
7.95KB |
| 8. Understanding a Confusion Matrix.mp4 |
7.38MB |
| 8. Understanding a Confusion Matrix.vtt |
9.71KB |
| 9. Activity Advanced Visualization with Seaborn.mp4 |
96.14MB |
| 9. Activity Advanced Visualization with Seaborn.vtt |
29.58KB |
| 9. Activity MAC Installing Graphviz.mp4 |
9.07MB |
| 9. Activity MAC Installing Graphviz.vtt |
1.47KB |
| 9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.mp4 |
30.38MB |
| 9. Activity Masked, Multi-Headed Self Attention with BERT, BERTViz, and exBERT.vtt |
10.57KB |
| 9. Activity Python Basics, Part 2 Optional.mp4 |
20.62MB |
| 9. Activity Python Basics, Part 2 Optional.vtt |
7.79KB |
| 9. Activity The OpenAI Audio API (speech to text).mp4 |
12.98MB |
| 9. Activity The OpenAI Audio API (speech to text).vtt |
6.79KB |
| 9. Activity Using Keras to Predict Political Affiliations.mp4 |
66.82MB |
| 9. Activity Using Keras to Predict Political Affiliations.vtt |
21.03KB |
| 9. Audio.py |
445B |
| 9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.mp4 |
17.43MB |
| 9. Handling Unbalanced Data Oversampling, Undersampling, and SMOTE.vtt |
9.91KB |
| 9. LLM Agents and Swarms of Agents.mp4 |
24.66MB |
| 9. LLM Agents and Swarms of Agents.vtt |
9.74KB |
| 9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4 |
11.67MB |
| 9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).vtt |
10.63KB |
| 9. TF IDF.mp4 |
65.66MB |
| 9. TF IDF.vtt |
11.04KB |