DevCourseWeb com Udemy BigQuery ML Machine Learning in Google Cloud with BigQuery

DevCourseWeb com Udemy BigQuery ML Machine Learning in Google Cloud with BigQuery

Name	[ DevCourseWeb.com ] Udemy - BigQuery ML - Machine Learning in Google Cloud with BigQuery	DOWNLOAD Copy Link
Total Size	3.7 GB
Total Files	331
Last Seen	2024-11-16 00:01
Hash	D33F143BC58CAED861A2A24B6C8482782EB8B4D4

/
Get Bonus Downloads Here.url	0.2 KB
/.../1. Introduction to GCP/
1. Introduction to Google Cloud Platform.mp4	9.7 MB
1. Introduction to Google Cloud Platform.mp4.jpg	164.1 KB
1. Introduction to Google Cloud Platform.srt	3.5 KB
2. GCP vs AWS vs Azure - Why choose GCP.mp4	21.4 MB
2. GCP vs AWS vs Azure - Why choose GCP.srt	9.5 KB
3. AI & ML services in Google Cloud.mp4	34.7 MB
3. AI & ML services in Google Cloud.srt	14.0 KB
/.../10. Boosted Trees/
1. What is Boosting and Why it is needed.mp4	25.4 MB
1. What is Boosting and Why it is needed.srt	9.5 KB
10. Boosted Tree Example - Hyperparameter Tuning.mp4	52.8 MB
10. Boosted Tree Example - Hyperparameter Tuning.srt	6.8 KB
10.1 Boosted Tree Hyperparameters.html	0.2 KB
11. Boosted Tree Example - Evaluation.mp4	40.7 MB
11. Boosted Tree Example - Evaluation.srt	4.7 KB
12. Quiz 4.html	0.2 KB
2. Boosted Tree working explained.mp4	14.0 MB
2. Boosted Tree working explained.srt	7.2 KB
3. Types of Boosting.mp4	21.7 MB
3. Types of Boosting.srt	8.1 KB
4. Options in Create model query - Part 1.mp4	29.5 MB
4. Options in Create model query - Part 1.srt	12.0 KB
4.1 DART.html	0.1 KB
4.2 XgBoost parameters.html	0.1 KB
5. Options in Create model query - Part 2.mp4	41.1 MB
5. Options in Create model query - Part 2.srt	12.2 KB
6. Boosted Tree Example - Use Case Intro & EDA.mp4	56.1 MB
6. Boosted Tree Example - Use Case Intro & EDA.srt	6.9 KB
7. Boosted Tree Example - Feature Engineering Part 1.mp4	24.4 MB
7. Boosted Tree Example - Feature Engineering Part 1.srt	4.1 KB
8. Boosted Tree Example - Feature Engineering Part 2.mp4	110.8 MB
8. Boosted Tree Example - Feature Engineering Part 2.srt	10.2 KB
8.2 Date Functions.html	0.1 KB
8.3 Geography Functions in BigQuery.html	0.1 KB
9. Boosted Tree Example - Create model.mp4	70.5 MB
9. Boosted Tree Example - Create model.srt	9.3 KB
9.1 Boosted Tree Hyperparameters.html	0.2 KB
/.../10. Boosted Trees/Boosted tree/
Data definition.txt	1.3 KB
EDA.txt	1.5 KB
create model.txt	1.3 KB
house_sales.csv	2.3 MB
/.../11. Model management Operations in BigQuery/
1. Introduction.mp4	11.8 MB
1. Introduction.srt	3.7 KB
2. Operations on Models - Part 1.mp4	19.2 MB
2. Operations on Models - Part 1.srt	5.7 KB
2.1 bq operations.txt	0.6 KB
3. Operations on Models - Part 2.mp4	30.1 MB
3. Operations on Models - Part 2.srt	8.8 KB
3.1 bq operations.txt	0.6 KB
3.2 Export model formats.html	0.2 KB
/.../12. Deep Neural Network (DNN)/
1. What is Artificial Neural Network.mp4	23.4 MB
1. What is Artificial Neural Network.srt	8.5 KB
10. Other Options in DNN.html	0.4 KB
11. DNN Example Use Case.mp4	50.0 MB
11. DNN Example Use Case.srt	7.5 KB
11.2 Use case link.html	0.1 KB
12. DNN Example Implementation in BigQuery ML.mp4	45.2 MB
12. DNN Example Implementation in BigQuery ML.srt	7.7 KB
12.1 DNN query.txt	0.4 KB
13. Quiz.html	0.2 KB
14. Assignment - DNN.html	0.2 KB
2. Working of Artificial Neural Network.mp4	32.9 MB
2. Working of Artificial Neural Network.srt	12.2 KB
3. DNN working explained.mp4	28.0 MB
3. DNN working explained.srt	10.0 KB
4. Activation Functions - Sigmoid, TanH.mp4	32.0 MB
4. Activation Functions - Sigmoid, TanH.srt	11.8 KB
5. Activation Functions - RELU.mp4	20.6 MB
5. Activation Functions - RELU.srt	8.2 KB
6. Which Activation Function to choose.mp4	15.4 MB
6. Which Activation Function to choose.srt	4.8 KB
7. Dropout technique to avoid Overfitting.mp4	23.8 MB
7. Dropout technique to avoid Overfitting.srt	7.5 KB
8. HIDDEN_UNITS Option.mp4	25.8 MB
8. HIDDEN_UNITS Option.srt	7.8 KB
9. Optimizer in DNN.mp4	24.3 MB
9. Optimizer in DNN.srt	6.5 KB
/.../UCI HAR Dataset/
DS_Store	6.1 KB
README.txt	6.3 KB
activity_labels.txt	0.1 KB
features.txt	15.8 KB
features_info.txt	2.8 KB
/.../UCI HAR Dataset/test/Inertial Signals/
body_acc_x_test.txt	6.0 MB
body_acc_y_test.txt	6.0 MB
body_acc_z_test.txt	6.0 MB
body_gyro_x_test.txt	6.0 MB
body_gyro_y_test.txt	6.0 MB
body_gyro_z_test.txt	6.0 MB
total_acc_x_test.txt	6.0 MB
total_acc_y_test.txt	6.0 MB
total_acc_z_test.txt	6.0 MB
/.../UCI HAR Dataset/test/
X_test.txt	26.5 MB
subject_test.txt	7.9 KB
y_test.txt	5.9 KB
/.../UCI HAR Dataset/train/Inertial Signals/
body_acc_x_train.txt	15.1 MB
body_acc_y_train.txt	15.1 MB
body_acc_z_train.txt	15.1 MB
body_gyro_x_train.txt	15.1 MB
body_gyro_y_train.txt	15.1 MB
body_gyro_z_train.txt	15.1 MB
total_acc_x_train.txt	15.1 MB
total_acc_y_train.txt	15.1 MB
total_acc_z_train.txt	15.1 MB
/.../UCI HAR Dataset/train/
X_train.txt	66.0 MB
subject_train.txt	20.2 KB
y_train.txt	14.7 KB
/.../UCI HAR Dataset/
_.DS_Store	0.1 KB
_README.txt	0.6 KB
_activity_labels.txt	0.2 KB
_features.txt	0.2 KB
_features_info.txt	0.2 KB
_test	0.2 KB
_train	0.2 KB
/.../UCI HAR Dataset/test/Inertial Signals/
_body_acc_x_test.txt	0.2 KB
_body_acc_y_test.txt	0.2 KB
_body_acc_z_test.txt	0.2 KB
_body_gyro_x_test.txt	0.2 KB
_body_gyro_y_test.txt	0.2 KB
_body_gyro_z_test.txt	0.2 KB
_total_acc_x_test.txt	0.2 KB
_total_acc_y_test.txt	0.2 KB
_total_acc_z_test.txt	0.2 KB
/.../UCI HAR Dataset/test/
_Inertial Signals	0.2 KB
_X_test.txt	0.2 KB
_subject_test.txt	0.2 KB
_y_test.txt	0.2 KB
/.../UCI HAR Dataset/train/Inertial Signals/
_body_acc_x_train.txt	0.2 KB
_body_acc_y_train.txt	0.2 KB
_body_acc_z_train.txt	0.2 KB
_body_gyro_x_train.txt	0.2 KB
_body_gyro_y_train.txt	0.2 KB
_body_gyro_z_train.txt	0.2 KB
_total_acc_x_train.txt	0.2 KB
_total_acc_y_train.txt	0.2 KB
_total_acc_z_train.txt	0.2 KB
/.../UCI HAR Dataset/train/
_Inertial Signals	0.2 KB
_X_train.txt	0.2 KB
_subject_train.txt	0.2 KB
_y_train.txt	0.2 KB
/.../12. Deep Neural Network (DNN)/__MACOSX/
_UCI HAR Dataset	0.2 KB
/.../13. BigQuery ML Pricing/
1. Free operations in BigQuery ML.mp4	8.4 MB
1. Free operations in BigQuery ML.srt	3.6 KB
1.1 BigQuery ML pricing.html	0.1 KB
2. What is Flat rate pricing model.mp4	20.6 MB
2. What is Flat rate pricing model.srt	7.1 KB
3. Costs involved in Flat rate pricing model.mp4	29.1 MB
3. Costs involved in Flat rate pricing model.srt	9.2 KB
3.1 Trial slots form.html	0.2 KB
4. Reservations.mp4	25.2 MB
4. Reservations.srt	8.9 KB
5. BigQuery ML On-demand pricing model.mp4	32.0 MB
5. BigQuery ML On-demand pricing model.srt	6.1 KB
5.1 BigQuery ML Pricing.html	0.1 KB
6. Calculate price for Create Model query.mp4	30.4 MB
6. Calculate price for Create Model query.srt	4.6 KB
6.1 Pricing.txt	0.2 KB
7. Quiz - Pricing.html	0.2 KB
/.../14. ARIMA+ for Time series Forecasting/
1. What is Time series Forecasting .mp4	16.2 MB
1. What is Time series Forecasting .srt	5.8 KB
10. ARIMA+ Example - Evaluation.mp4	76.6 MB
10. ARIMA+ Example - Evaluation.srt	11.1 KB
11. ARIMA+ Example - Inferencing Functions.mp4	60.6 MB
12. ARIMA+ Example - Model Explainability.mp4	46.9 MB
2. Components of Time series.mp4	15.5 MB
2. Components of Time series.srt	4.8 KB
3. Stationarity in Time series.mp4	12.9 MB
3. Stationarity in Time series.srt	5.2 KB
4. Auto regression (AR) in ARIMA.mp4	28.9 MB
4. Auto regression (AR) in ARIMA.srt	11.0 KB
5. Moving Average (MA) in ARIMA.mp4	32.7 MB
5. Moving Average (MA) in ARIMA.srt	10.6 KB
6. ARIMA+ Options - Part 1.mp4	32.7 MB
6. ARIMA+ Options - Part 1.srt	9.2 KB
7. ARIMA+ Options - Part 2.mp4	20.7 MB
7. ARIMA+ Options - Part 2.srt	5.3 KB
8. ARIMA+ Example - Use case & EDA.mp4	53.5 MB
8. ARIMA+ Example - Use case & EDA.srt	6.2 KB
9. ARIMA+ Example - Create Model.mp4	66.8 MB
9. ARIMA+ Example - Create Model.srt	9.1 KB
/.../14. ARIMA+ for Time series Forecasting/ARIMA+/
Istanbul Weather Data.csv	297.2 KB
arima queries.txt	2.4 KB
/.../15. Additional Learnings/
1. Google Cloud SDK setup.mp4	11.9 MB
1. Google Cloud SDK setup.srt	1.6 KB
1.1 Google cloud SDK.html	0.1 KB
/16. BONUS/
1. Bonus.mp4	20.3 MB
1. Bonus.srt	4.1 KB
/.../2. BigQuery ML (BQML) introduction/
1. What is BigQuery ML.mp4	20.1 MB
1. What is BigQuery ML.srt	7.1 KB
2. Conventional ML challenges and How Big query is addressing them.mp4	39.0 MB
2. Conventional ML challenges and How Big query is addressing them.srt	11.7 KB
3. BigQuery ML Features.mp4	29.3 MB
3. BigQuery ML Features.srt	9.6 KB
4. Advantages of BigQuery ML.mp4	20.5 MB
4. Advantages of BigQuery ML.srt	6.0 KB
5. LifecycleWorkflow of a BigQuery ML Project.mp4	21.8 MB
5. LifecycleWorkflow of a BigQuery ML Project.srt	7.6 KB
6. BQML supported models.mp4	64.1 MB
6. BQML supported models.srt	8.8 KB
6.1 Supported models in BigQuery ML.html	0.1 KB
/.../3. BigQuery Basics - Crash course/
1. Announcement.mp4	4.1 MB
1. Announcement.srt	2.3 KB
2. Setup a GCP account.html	1.2 KB
3. Important Note.html	0.6 KB
4. Create a Project.mp4	32.6 MB
4. Create a Project.srt	6.5 KB
5. BigQuery UI Tour.mp4	31.0 MB
5. BigQuery UI Tour.srt	5.7 KB
6. Create a Dataset.mp4	28.9 MB
6. Create a Dataset.srt	7.0 KB
7. Create a Table.mp4	55.3 MB
7. Create a Table.srt	11.5 KB
8. Assignment - Create Table.html	0.2 KB
/4. Linear Regression/
1. What is Linear regression - Part 1.mp4	31.9 MB
1. What is Linear regression - Part 1.srt	8.5 KB
10. Gradient Descent Optimize Strategy.mp4	21.0 MB
10. Gradient Descent Optimize Strategy.srt	10.3 KB
11. Types of Gradient Descent.mp4	14.3 MB
11. Types of Gradient Descent.srt	4.5 KB
12. Learn rate Option.mp4	18.6 MB
12. Learn rate Option.srt	6.5 KB
13. Other Options in Create model query.mp4	35.9 MB
13. Other Options in Create model query.srt	11.9 KB
14. Model Training - Write Create model Query for Linear regression.mp4	70.6 MB
14. Model Training - Write Create model Query for Linear regression.srt	12.5 KB
15. Exploring Model details.mp4	28.3 MB
15. Exploring Model details.srt	4.7 KB
16. Model Evaluation Query (ML.EVALUATE).mp4	54.8 MB
16. Model Evaluation Query (ML.EVALUATE).srt	10.0 KB
17. Model Training - Optimize Create Model Query.mp4	60.6 MB
17. Model Training - Optimize Create Model Query.srt	7.6 KB
18. ML.TRAINING_INFO Function.html	1.0 KB
19. Model Prediction (ML.PREDICT).mp4	51.0 MB
19. Model Prediction (ML.PREDICT).srt	7.8 KB
2. What is Linear regression - Part 2.mp4	24.6 MB
2. What is Linear regression - Part 2.srt	5.9 KB
20. Quiz 1.html	0.2 KB
21. Assignment - Linear regression.html	0.2 KB
3. High-level view of Create Model query.mp4	46.2 MB
3. High-level view of Create Model query.srt	10.4 KB
4. Limitations of Create model query.mp4	17.0 MB
4. Limitations of Create model query.srt	4.4 KB
5. Linear regression Example Use case.mp4	40.9 MB
5. Linear regression Example Use case.srt	7.3 KB
6. Basic Options in Create model query.mp4	34.8 MB
6. Basic Options in Create model query.srt	9.5 KB
7. Overfitting problem.mp4	11.1 MB
7. Overfitting problem.srt	5.8 KB
8. L2Ridge regularization.mp4	18.7 MB
8. L2Ridge regularization.srt	8.4 KB
9. L1Lasso regularization.mp4	14.7 MB
9. L1Lasso regularization.srt	4.9 KB
/4. Linear Regression/Linear regression/
Linear regression.txt	1.2 KB
USA_Housing_train.csv	597.9 KB
usa_housing_eval_final.csv	67.0 KB
usa_housing_evaluate.csv	40.3 KB
usa_housing_predict.csv	47.0 KB
/.../5. Hyperparameter Tuning in BigQuery/
1. What is Hyperparameter Tuning .mp4	7.9 MB
1. What is Hyperparameter Tuning .srt	4.0 KB
2. Hyperparameter Tuning Options in BigQuery.mp4	42.2 MB
2. Hyperparameter Tuning Options in BigQuery.srt	12.6 KB
2.1 Hyperparameter Tuning in Bigquery.html	0.2 KB
3. Tune the Linear regression model.mp4	47.0 MB
3. Tune the Linear regression model.srt	7.2 KB
4. ML.TRIAL_INFO Function.html	1.3 KB
/.../6. Model Explainability Functions/
1. Why Model Explainability is important .mp4	11.6 MB
1. Why Model Explainability is important .srt	6.0 KB
2. Model Explainability Functions in BigQuery.mp4	53.8 MB
2. Model Explainability Functions in BigQuery.srt	7.5 KB
3. ML.WEIGHTS Function.mp4	18.6 MB
3. ML.WEIGHTS Function.srt	3.5 KB
4. List of functions supported by all models.html	0.5 KB
/.../6. Model Explainability Functions/Linear regression/
Linear regression.txt	1.2 KB
USA_Housing_train.csv	597.9 KB
usa_housing_eval_final.csv	67.0 KB
usa_housing_evaluate.csv	40.3 KB
usa_housing_predict.csv	47.0 KB
/7. Logistic regression/
1. What is Logistic regression .mp4	20.2 MB
1. What is Logistic regression .srt	4.8 KB
10. Quiz 2.html	0.2 KB
11. Assignment - Logistic regression.html	0.2 KB
2. Sigmoid Function.mp4	15.5 MB
2. Sigmoid Function.srt	5.8 KB
3. Logistic regression Example Use case.mp4	42.2 MB
3. Logistic regression Example Use case.srt	5.4 KB
4. Model Training - Write Create model Query for Logistic regression.mp4	25.6 MB
4. Model Training - Write Create model Query for Logistic regression.srt	2.9 KB
5. Evaluation metrics Fundamentals explained.mp4	32.2 MB
5. Evaluation metrics Fundamentals explained.srt	10.3 KB
6. Precision, Recall, Accuracy, F1 score.mp4	31.6 MB
6. Precision, Recall, Accuracy, F1 score.srt	11.4 KB
7. Evaluation Functions in BigQuery.mp4	41.1 MB
7. Evaluation Functions in BigQuery.srt	4.8 KB
7.1 Queries.txt	2.7 KB
8. Prediction Function (ML.PREDICT).mp4	37.2 MB
8. Prediction Function (ML.PREDICT).srt	4.3 KB
9. Applications of Logistic regression.mp4	11.9 MB
9. Applications of Logistic regression.srt	3.3 KB
/7. Logistic regression/Logistic regression/
Queries.txt	2.7 KB
weatherAUS.csv	15.5 MB
/.../8. Feature Pre-processing/
1. Automatic Feature Pre-processing.mp4	48.6 MB
1. Automatic Feature Pre-processing.srt	13.8 KB
2. Manual Feature Pre-processing - Part 1.mp4	72.5 MB
2. Manual Feature Pre-processing - Part 1.srt	12.0 KB
2.1 manual feature preprocessing.txt	0.7 KB
3. Manual Feature Pre-processing - Part 2.mp4	23.8 MB
3. Manual Feature Pre-processing - Part 2.srt	3.5 KB
3.1 manual feature preprocessing.txt	0.7 KB
4. FEATURE_INFO Function.html	1.6 KB
/9. K-means Clustering/
1. What is Clustering.mp4	20.0 MB
1. What is Clustering.srt	5.9 KB
10. Quiz 3.html	0.2 KB
11. Assignment - Kmeans Clustering.html	0.2 KB
2. K-means algorithm working.mp4	15.5 MB
2. K-means algorithm working.srt	6.4 KB
3. Advantages & Disadvantages of K-means.mp4	12.7 MB
3. Advantages & Disadvantages of K-means.srt	5.2 KB
4. Applications of K-means algorithm.mp4	16.8 MB
4. Applications of K-means algorithm.srt	4.5 KB
5. Options in Create model query.mp4	30.0 MB
5. Options in Create model query.srt	10.1 KB
6. K-means Example in BigQuery - Create model.mp4	72.3 MB
6. K-means Example in BigQuery - Create model.srt	9.3 KB
6.1 K-means Queries.txt	1.2 KB
7. K-means Example in BigQuery - Evaluation.mp4	58.9 MB
7. K-means Example in BigQuery - Evaluation.srt	7.1 KB
8. K-means Example in BigQuery - Prediction.mp4	43.4 MB
8. K-means Example in BigQuery - Prediction.srt	4.7 KB
8.1 K-means Queries.txt	1.2 KB
9. K-means Example in BigQuery - Anomaly detection.mp4	59.3 MB
9. K-means Example in BigQuery - Anomaly detection.srt	6.7 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 331