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文档列表

~Get Your Files Here !/10. Boosted Trees/8. Boosted Tree Example - Feature Engineering Part 2.mp4 110.8 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/10. ARIMA+ Example - Evaluation.mp4 76.6 MB
~Get Your Files Here !/8. Feature Pre-processing/2. Manual Feature Pre-processing - Part 1.mp4 72.5 MB
~Get Your Files Here !/9. K-means Clustering/6. K-means Example in BigQuery - Create model.mp4 72.3 MB
~Get Your Files Here !/4. Linear Regression/14. Model Training - Write Create model Query for Linear regression.mp4 70.6 MB
~Get Your Files Here !/10. Boosted Trees/9. Boosted Tree Example - Create model.mp4 70.5 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/9. ARIMA+ Example - Create Model.mp4 66.8 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/X_train.txt 66.0 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/6. BQML supported models.mp4 64.1 MB
~Get Your Files Here !/4. Linear Regression/17. Model Training - Optimize Create Model Query.mp4 60.6 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/11. ARIMA+ Example - Inferencing Functions.mp4 60.6 MB
~Get Your Files Here !/9. K-means Clustering/9. K-means Example in BigQuery - Anomaly detection.mp4 59.3 MB
~Get Your Files Here !/9. K-means Clustering/7. K-means Example in BigQuery - Evaluation.mp4 58.9 MB
~Get Your Files Here !/10. Boosted Trees/6. Boosted Tree Example - Use Case Intro & EDA.mp4 56.1 MB
~Get Your Files Here !/3. BigQuery Basics - Crash course/7. Create a Table.mp4 55.3 MB
~Get Your Files Here !/4. Linear Regression/16. Model Evaluation Query (ML.EVALUATE).mp4 54.8 MB
~Get Your Files Here !/6. Model Explainability Functions/2. Model Explainability Functions in BigQuery.mp4 53.8 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/8. ARIMA+ Example - Use case & EDA.mp4 53.5 MB
~Get Your Files Here !/10. Boosted Trees/10. Boosted Tree Example - Hyperparameter Tuning.mp4 52.8 MB
~Get Your Files Here !/4. Linear Regression/19. Model Prediction (ML.PREDICT).mp4 51.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/11. DNN Example Use Case.mp4 50.0 MB
~Get Your Files Here !/8. Feature Pre-processing/1. Automatic Feature Pre-processing.mp4 48.6 MB
~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/3. Tune the Linear regression model.mp4 47.0 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/12. ARIMA+ Example - Model Explainability.mp4 46.9 MB
~Get Your Files Here !/4. Linear Regression/3. High-level view of Create Model query.mp4 46.2 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/12. DNN Example Implementation in BigQuery ML.mp4 45.2 MB
~Get Your Files Here !/9. K-means Clustering/8. K-means Example in BigQuery - Prediction.mp4 43.4 MB
~Get Your Files Here !/7. Logistic regression/3. Logistic regression Example Use case.mp4 42.2 MB
~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/2. Hyperparameter Tuning Options in BigQuery.mp4 42.2 MB
~Get Your Files Here !/7. Logistic regression/7. Evaluation Functions in BigQuery.mp4 41.1 MB
~Get Your Files Here !/10. Boosted Trees/5. Options in Create model query - Part 2.mp4 41.1 MB
~Get Your Files Here !/4. Linear Regression/5. Linear regression Example Use case.mp4 40.9 MB
~Get Your Files Here !/10. Boosted Trees/11. Boosted Tree Example - Evaluation.mp4 40.7 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/2. Conventional ML challenges and How Big query is addressing them.mp4 39.0 MB
~Get Your Files Here !/7. Logistic regression/8. Prediction Function (ML.PREDICT).mp4 37.2 MB
~Get Your Files Here !/4. Linear Regression/13. Other Options in Create model query.mp4 35.9 MB
~Get Your Files Here !/4. Linear Regression/6. Basic Options in Create model query.mp4 34.8 MB
~Get Your Files Here !/1. Introduction to GCP/3. AI & ML services in Google Cloud.mp4 34.7 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/2. Working of Artificial Neural Network.mp4 32.9 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/6. ARIMA+ Options - Part 1.mp4 32.7 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/5. Moving Average (MA) in ARIMA.mp4 32.7 MB
~Get Your Files Here !/3. BigQuery Basics - Crash course/4. Create a Project.mp4 32.6 MB
~Get Your Files Here !/7. Logistic regression/5. Evaluation metrics Fundamentals explained.mp4 32.2 MB
~Get Your Files Here !/13. BigQuery ML Pricing/5. BigQuery ML On-demand pricing model.mp4 32.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/4. Activation Functions - Sigmoid, TanH.mp4 32.0 MB
~Get Your Files Here !/4. Linear Regression/1. What is Linear regression - Part 1.mp4 31.9 MB
~Get Your Files Here !/7. Logistic regression/6. Precision, Recall, Accuracy, F1 score.mp4 31.6 MB
~Get Your Files Here !/3. BigQuery Basics - Crash course/5. BigQuery UI Tour.mp4 31.0 MB
~Get Your Files Here !/13. BigQuery ML Pricing/6. Calculate price for Create Model query.mp4 30.4 MB
~Get Your Files Here !/11. Model management Operations in BigQuery/3. Operations on Models - Part 2.mp4 30.1 MB
~Get Your Files Here !/9. K-means Clustering/5. Options in Create model query.mp4 30.0 MB
~Get Your Files Here !/10. Boosted Trees/4. Options in Create model query - Part 1.mp4 29.5 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/3. BigQuery ML Features.mp4 29.3 MB
~Get Your Files Here !/13. BigQuery ML Pricing/3. Costs involved in Flat rate pricing model.mp4 29.1 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/4. Auto regression (AR) in ARIMA.mp4 28.9 MB
~Get Your Files Here !/3. BigQuery Basics - Crash course/6. Create a Dataset.mp4 28.9 MB
~Get Your Files Here !/4. Linear Regression/15. Exploring Model details.mp4 28.3 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/3. DNN working explained.mp4 28.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/X_test.txt 26.5 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/8. HIDDEN_UNITS Option.mp4 25.8 MB
~Get Your Files Here !/7. Logistic regression/4. Model Training - Write Create model Query for Logistic regression.mp4 25.6 MB
~Get Your Files Here !/10. Boosted Trees/1. What is Boosting and Why it is needed.mp4 25.4 MB
~Get Your Files Here !/13. BigQuery ML Pricing/4. Reservations.mp4 25.2 MB
~Get Your Files Here !/4. Linear Regression/2. What is Linear regression - Part 2.mp4 24.6 MB
~Get Your Files Here !/10. Boosted Trees/7. Boosted Tree Example - Feature Engineering Part 1.mp4 24.4 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/9. Optimizer in DNN.mp4 24.3 MB
~Get Your Files Here !/8. Feature Pre-processing/3. Manual Feature Pre-processing - Part 2.mp4 23.8 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/7. Dropout technique to avoid Overfitting.mp4 23.8 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/1. What is Artificial Neural Network.mp4 23.4 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/5. LifecycleWorkflow of a BigQuery ML Project.mp4 21.8 MB
~Get Your Files Here !/10. Boosted Trees/3. Types of Boosting.mp4 21.7 MB
~Get Your Files Here !/1. Introduction to GCP/2. GCP vs AWS vs Azure - Why choose GCP.mp4 21.4 MB
~Get Your Files Here !/4. Linear Regression/10. Gradient Descent Optimize Strategy.mp4 21.0 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/7. ARIMA+ Options - Part 2.mp4 20.7 MB
~Get Your Files Here !/13. BigQuery ML Pricing/2. What is Flat rate pricing model.mp4 20.6 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/5. Activation Functions - RELU.mp4 20.6 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/4. Advantages of BigQuery ML.mp4 20.5 MB
~Get Your Files Here !/16. BONUS/1. Bonus.mp4 20.3 MB
~Get Your Files Here !/7. Logistic regression/1. What is Logistic regression .mp4 20.2 MB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/1. What is BigQuery ML.mp4 20.1 MB
~Get Your Files Here !/9. K-means Clustering/1. What is Clustering.mp4 20.0 MB
~Get Your Files Here !/11. Model management Operations in BigQuery/2. Operations on Models - Part 1.mp4 19.2 MB
~Get Your Files Here !/4. Linear Regression/8. L2Ridge regularization.mp4 18.7 MB
~Get Your Files Here !/6. Model Explainability Functions/3. ML.WEIGHTS Function.mp4 18.6 MB
~Get Your Files Here !/4. Linear Regression/12. Learn rate Option.mp4 18.6 MB
~Get Your Files Here !/4. Linear Regression/4. Limitations of Create model query.mp4 17.0 MB
~Get Your Files Here !/9. K-means Clustering/4. Applications of K-means algorithm.mp4 16.8 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/1. What is Time series Forecasting .mp4 16.2 MB
~Get Your Files Here !/7. Logistic regression/2. Sigmoid Function.mp4 15.5 MB
~Get Your Files Here !/7. Logistic regression/Logistic regression/weatherAUS.csv 15.5 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/2. Components of Time series.mp4 15.5 MB
~Get Your Files Here !/9. K-means Clustering/2. K-means algorithm working.mp4 15.5 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/6. Which Activation Function to choose.mp4 15.4 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_x_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_y_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_z_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_x_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_y_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_z_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_x_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_y_train.txt 15.1 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_z_train.txt 15.1 MB
~Get Your Files Here !/4. Linear Regression/9. L1Lasso regularization.mp4 14.7 MB
~Get Your Files Here !/4. Linear Regression/11. Types of Gradient Descent.mp4 14.3 MB
~Get Your Files Here !/10. Boosted Trees/2. Boosted Tree working explained.mp4 14.0 MB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/3. Stationarity in Time series.mp4 12.9 MB
~Get Your Files Here !/9. K-means Clustering/3. Advantages & Disadvantages of K-means.mp4 12.7 MB
~Get Your Files Here !/15. Additional Learnings/1. Google Cloud SDK setup.mp4 11.9 MB
~Get Your Files Here !/7. Logistic regression/9. Applications of Logistic regression.mp4 11.9 MB
~Get Your Files Here !/11. Model management Operations in BigQuery/1. Introduction.mp4 11.8 MB
~Get Your Files Here !/6. Model Explainability Functions/1. Why Model Explainability is important .mp4 11.6 MB
~Get Your Files Here !/4. Linear Regression/7. Overfitting problem.mp4 11.1 MB
~Get Your Files Here !/1. Introduction to GCP/1. Introduction to Google Cloud Platform.mp4 9.7 MB
~Get Your Files Here !/13. BigQuery ML Pricing/1. Free operations in BigQuery ML.mp4 8.4 MB
~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/1. What is Hyperparameter Tuning .mp4 7.9 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_x_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_y_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_z_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_x_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_y_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_z_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_x_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_y_test.txt 6.0 MB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_z_test.txt 6.0 MB
~Get Your Files Here !/3. BigQuery Basics - Crash course/1. Announcement.mp4 4.1 MB
~Get Your Files Here !/10. Boosted Trees/Boosted tree/house_sales.csv 2.2 MB
~Get Your Files Here !/4. Linear Regression/Linear regression/USA_Housing_train.csv 597.9 kB
~Get Your Files Here !/6. Model Explainability Functions/Linear regression/USA_Housing_train.csv 597.9 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/ARIMA+/Istanbul Weather Data.csv 297.2 kB
~Get Your Files Here !/1. Introduction to GCP/1. Introduction to Google Cloud Platform.mp4.jpg 164.1 kB
~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_eval_final.csv 67.0 kB
~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_eval_final.csv 67.0 kB
~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_predict.csv 47.0 kB
~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_predict.csv 47.0 kB
~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_evaluate.csv 40.3 kB
~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_evaluate.csv 40.3 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/subject_train.txt 20.2 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/features.txt 15.8 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/y_train.txt 14.7 kB
~Get Your Files Here !/1. Introduction to GCP/3. AI & ML services in Google Cloud.srt 14.0 kB
~Get Your Files Here !/8. Feature Pre-processing/1. Automatic Feature Pre-processing.srt 13.8 kB
~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/2. Hyperparameter Tuning Options in BigQuery.srt 12.6 kB
~Get Your Files Here !/4. Linear Regression/14. Model Training - Write Create model Query for Linear regression.srt 12.5 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/2. Working of Artificial Neural Network.srt 12.2 kB
~Get Your Files Here !/10. Boosted Trees/5. Options in Create model query - Part 2.srt 12.2 kB
~Get Your Files Here !/8. Feature Pre-processing/2. Manual Feature Pre-processing - Part 1.srt 12.0 kB
~Get Your Files Here !/10. Boosted Trees/4. Options in Create model query - Part 1.srt 12.0 kB
~Get Your Files Here !/4. Linear Regression/13. Other Options in Create model query.srt 11.9 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/4. Activation Functions - Sigmoid, TanH.srt 11.8 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/2. Conventional ML challenges and How Big query is addressing them.srt 11.7 kB
~Get Your Files Here !/3. BigQuery Basics - Crash course/7. Create a Table.srt 11.5 kB
~Get Your Files Here !/7. Logistic regression/6. Precision, Recall, Accuracy, F1 score.srt 11.4 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/10. ARIMA+ Example - Evaluation.srt 11.1 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/4. Auto regression (AR) in ARIMA.srt 11.0 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/5. Moving Average (MA) in ARIMA.srt 10.6 kB
~Get Your Files Here !/4. Linear Regression/3. High-level view of Create Model query.srt 10.4 kB
~Get Your Files Here !/4. Linear Regression/10. Gradient Descent Optimize Strategy.srt 10.3 kB
~Get Your Files Here !/7. Logistic regression/5. Evaluation metrics Fundamentals explained.srt 10.3 kB
~Get Your Files Here !/10. Boosted Trees/8. Boosted Tree Example - Feature Engineering Part 2.srt 10.2 kB
~Get Your Files Here !/9. K-means Clustering/5. Options in Create model query.srt 10.1 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/3. DNN working explained.srt 10.0 kB
~Get Your Files Here !/4. Linear Regression/16. Model Evaluation Query (ML.EVALUATE).srt 10.0 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/3. BigQuery ML Features.srt 9.6 kB
~Get Your Files Here !/4. Linear Regression/6. Basic Options in Create model query.srt 9.5 kB
~Get Your Files Here !/1. Introduction to GCP/2. GCP vs AWS vs Azure - Why choose GCP.srt 9.5 kB
~Get Your Files Here !/10. Boosted Trees/1. What is Boosting and Why it is needed.srt 9.5 kB
~Get Your Files Here !/9. K-means Clustering/6. K-means Example in BigQuery - Create model.srt 9.3 kB
~Get Your Files Here !/10. Boosted Trees/9. Boosted Tree Example - Create model.srt 9.3 kB
~Get Your Files Here !/13. BigQuery ML Pricing/3. Costs involved in Flat rate pricing model.srt 9.2 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/6. ARIMA+ Options - Part 1.srt 9.2 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/9. ARIMA+ Example - Create Model.srt 9.1 kB
~Get Your Files Here !/13. BigQuery ML Pricing/4. Reservations.srt 8.9 kB
~Get Your Files Here !/11. Model management Operations in BigQuery/3. Operations on Models - Part 2.srt 8.8 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/6. BQML supported models.srt 8.8 kB
~Get Your Files Here !/4. Linear Regression/1. What is Linear regression - Part 1.srt 8.5 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/1. What is Artificial Neural Network.srt 8.5 kB
~Get Your Files Here !/4. Linear Regression/8. L2Ridge regularization.srt 8.4 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/5. Activation Functions - RELU.srt 8.2 kB
~Get Your Files Here !/10. Boosted Trees/3. Types of Boosting.srt 8.1 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/subject_test.txt 7.9 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/8. HIDDEN_UNITS Option.srt 7.8 kB
~Get Your Files Here !/4. Linear Regression/19. Model Prediction (ML.PREDICT).srt 7.8 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/12. DNN Example Implementation in BigQuery ML.srt 7.7 kB
~Get Your Files Here !/4. Linear Regression/17. Model Training - Optimize Create Model Query.srt 7.6 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/5. LifecycleWorkflow of a BigQuery ML Project.srt 7.6 kB
~Get Your Files Here !/6. Model Explainability Functions/2. Model Explainability Functions in BigQuery.srt 7.5 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/11. DNN Example Use Case.srt 7.5 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/7. Dropout technique to avoid Overfitting.srt 7.5 kB
~Get Your Files Here !/4. Linear Regression/5. Linear regression Example Use case.srt 7.3 kB
~Get Your Files Here !/10. Boosted Trees/2. Boosted Tree working explained.srt 7.2 kB
~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/3. Tune the Linear regression model.srt 7.2 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/1. What is BigQuery ML.srt 7.1 kB
~Get Your Files Here !/13. BigQuery ML Pricing/2. What is Flat rate pricing model.srt 7.1 kB
~Get Your Files Here !/9. K-means Clustering/7. K-means Example in BigQuery - Evaluation.srt 7.1 kB
~Get Your Files Here !/3. BigQuery Basics - Crash course/6. Create a Dataset.srt 7.0 kB
~Get Your Files Here !/10. Boosted Trees/6. Boosted Tree Example - Use Case Intro & EDA.srt 6.9 kB
~Get Your Files Here !/10. Boosted Trees/10. Boosted Tree Example - Hyperparameter Tuning.srt 6.8 kB
~Get Your Files Here !/9. K-means Clustering/9. K-means Example in BigQuery - Anomaly detection.srt 6.7 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/9. Optimizer in DNN.srt 6.5 kB
~Get Your Files Here !/4. Linear Regression/12. Learn rate Option.srt 6.5 kB
~Get Your Files Here !/3. BigQuery Basics - Crash course/4. Create a Project.srt 6.5 kB
~Get Your Files Here !/9. K-means Clustering/2. K-means algorithm working.srt 6.4 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/README.txt 6.3 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/8. ARIMA+ Example - Use case & EDA.srt 6.2 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/DS_Store 6.1 kB
~Get Your Files Here !/13. BigQuery ML Pricing/5. BigQuery ML On-demand pricing model.srt 6.1 kB
~Get Your Files Here !/2. BigQuery ML (BQML) introduction/4. Advantages of BigQuery ML.srt 6.0 kB
~Get Your Files Here !/6. Model Explainability Functions/1. Why Model Explainability is important .srt 6.0 kB
~Get Your Files Here !/9. K-means Clustering/1. What is Clustering.srt 5.9 kB
~Get Your Files Here !/4. Linear Regression/2. What is Linear regression - Part 2.srt 5.9 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/y_test.txt 5.9 kB
~Get Your Files Here !/4. Linear Regression/7. Overfitting problem.srt 5.8 kB
~Get Your Files Here !/7. Logistic regression/2. Sigmoid Function.srt 5.8 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/1. What is Time series Forecasting .srt 5.8 kB
~Get Your Files Here !/3. BigQuery Basics - Crash course/5. BigQuery UI Tour.srt 5.7 kB
~Get Your Files Here !/11. Model management Operations in BigQuery/2. Operations on Models - Part 1.srt 5.7 kB
~Get Your Files Here !/7. Logistic regression/3. Logistic regression Example Use case.srt 5.4 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/7. ARIMA+ Options - Part 2.srt 5.3 kB
~Get Your Files Here !/9. K-means Clustering/3. Advantages & Disadvantages of K-means.srt 5.2 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/3. Stationarity in Time series.srt 5.2 kB
~Get Your Files Here !/4. Linear Regression/9. L1Lasso regularization.srt 4.9 kB
~Get Your Files Here !/12. Deep Neural Network (DNN)/6. Which Activation Function to choose.srt 4.8 kB
~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/2. Components of Time series.srt 4.8 kB
~Get Your Files Here !/7. Logistic regression/7. Evaluation Functions in BigQuery.srt 4.8 kB
~Get Your Files Here !/7. Logistic regression/1. What is Logistic regression .srt 4.8 kB
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