Certified Machine Learning Associate Certification Video Training Course
The complete solution to prepare for for your exam with Certified Machine Learning Associate certification video training course. The Certified Machine Learning Associate certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Databricks Certified Machine Learning Associate exam dumps, study guide & practice test questions and answers.
Certified Machine Learning Associate Certification Video Training Course Exam Curriculum
Getting started with Databricks Machine Learning
-
1. Introduction to Databricks Machine Learning6:27
-
2. Lab: Databricks Workspace with Community Edition6:26
-
3. Lab: Databricks Workspace with Azure Cloud8:37
-
4. Databricks User Interface Overview8:55
-
5. Azure Databricks Architecture Overview3:06
-
6. Resources Created by Azure Databricks Workspace2:24
Databricks Runtime for Machine
-
1. Introduction to Databricks Runtime for Machine Learning6:21
-
2. Lab: Creating Databricks ML Cluster6:29
-
3. Explore Cluster Features from UI5:04
AutoML (Classification, Regression, Forecasting)
-
1. Introduction to AutoML8:02
-
2. AutoML Regression Databricks UI Part - 110:44
-
3. AutoML Regression Databricks UI Part - 211:25
-
4. AutoML Regression Databricks UI Part - 312:15
-
5. AutoML Regression Databricks Python API Part - 19:24
-
6. AutoML Regression Databricks Python API Part - 24:46
-
7. AutoML Classification Part - 110:06
-
8. AutoML Classification Part - 27:09
-
9. AutoML Forecasting Databricks UI Part - 18:20
-
10. AutoML Forecasting Databricks UI Part - 22:46
-
11. AutoML Forecasting Databricks Python API Part - 16:11
-
12. AutoML Forecasting Databricks Python API Part - 24:10
Feature store
-
1. Databricks Feature store Part - 111:05
-
2. Databricks Feature store Part - 211:56
Managed MLflow
-
1. Introduction to Mlflow8:56
-
2. Lab : Mlflow Logging API Part - 110:25
-
3. Lab : Mlflow Logging API Part - 26:44
-
4. Lab : Mlflow Logging API Part - 35:47
-
5. Lab: ML End-to-End Example Part - 110:53
-
6. Lab: ML End-to-End Example Part - 211:27
-
7. Lab: ML End-to-End Example Part - 310:28
-
8. Lab: ML End-to-End Example Part - 47:54
-
9. Lab: ML End-to-End Example Part - 57:26
-
10. MLFlow Model Registry Part - 110:22
-
11. MLFlow Model Registry Part - 25:50
-
12. MLFlow Model Registry Part - 310:11
Exploratory Data Analysis & Feature Engineering
-
1. Introduction to Exploratory Data Analysis4:34
-
2. Exploratory Data Analysis: Explore the Data Part 113:13
-
3. Exploratory Data Analysis: Explore the Data Part 29:39
-
4. Exploratory Data Analysis: Explore the Data Part 39:14
-
5. Exploratory Data Analysis: Data Visualization11:18
-
6. Exploratory Data Analysis: Pandas Profiling12:29
-
7. Feature engineering: Missing Value Imputation8:32
-
8. Feature engineering: Outlier Removal7:58
-
9. Feature engineering: Feature Creation7:43
-
10. Feature engineering: Feature Scaling6:44
-
11. Feature engineering: One-Hot-Encoding6:00
-
12. Feature engineering: Feature Selection6:19
-
13. Feature engineering: Feature Transformation4:44
-
14. Feature engineering: Dimensionality Reduction5:14
Hyperparameter Tuning with Hyperopt
-
1. Hyperparameter Basics6:29
-
2. Introduction to Hyperparameter tuning with Hyperopt2:15
-
3. Hyperparameter Parallelization: Loading the Dataset6:55
-
4. Hyperparameter Parallelization: Single-Machine Hyperopt Workflow8:55
-
5. Hyperparameter Parallelization: Distributed tuning using Apache Spark and MLflow11:05
-
6. Model Selection with Hyperopt & MLflow Part 15:40
-
7. Model Selection with Hyperopt & MLflow Part 25:49
-
8. Model Selection with Hyperopt & MLflow Part 315:15
-
9. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 111:27
-
10. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 212:17
-
11. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 33:44
-
12. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 413:45
-
13. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 56:05
-
14. Automated MLflow Tracking & Cross-Validation Part 110:21
-
15. Automated MLflow Tracking & Cross-Validation Part 211:47
-
16. Automated MLflow Tracking & Cross-Validation Part 37:30
-
17. Automated MLflow Tracking & Cross-Validation Part 418:50
Spark ML Modeling APIs - Binary Classification
-
1. Binary Classification - Loading Dataset11:59
-
2. Binary Classification - Data Preprocessing & Feature Engineering Part 19:55
-
3. Binary Classification - Data Preprocessing & Feature Engineering Part 210:56
-
4. Binary Classification - Logistic Regression Part 112:32
-
5. Binary Classification - Logistic Regression Part 211:45
-
6. Binary Classification - Random Forest9:35
-
7. Binary Classification - Making Predictions4:53
Spark ML Modeling APIs - Regression with GBT & MLib Pipelines
-
1. Regression with GBT & MLlib Pipelines - Data Preprocessing Part 113:00
-
2. Regression with GBT & MLlib Pipelines - Data Preprocessing Part 27:56
-
3. Regression with GBT & MLlib Pipelines - Train ML Pipeline Part 19:36
-
4. Regression with GBT & MLlib Pipelines - Train ML Pipeline Part 28:26
-
5. Regression with GBT & MLlib Pipelines - Predicting and Evaluating ML Model8:44
Spark ML Modeling APIs - Decision Trees SFO Airport Survey
-
1. Decision Trees SFO Airport Survey - Business Problem3:17
-
2. Decision Trees SFO Airport Survey - Loading Dataset2:51
-
3. Decision Trees SFO Airport Survey - Understanding Dataset7:32
-
4. Decision Trees SFO Airport Survey - Creating Model Part 110:47
-
5. Decision Trees SFO Airport Survey - Creating Model Part 25:44
-
6. Decision Trees SFO Airport Survey - Evaluating the Model7:26
-
7. Decision Trees SFO Airport Survey - Feature Importance13:49
Pandas on Databricks & Accessing Data ADLS
-
1. Introduction to Pandas on Databricks1:15
-
2. Store & Load Data with Pandas7:07
-
3. Working with Files on Databricks7:08
-
4. Accessing Data via Access Key10:46
-
5. Accessing Data via SAS Token3:37
-
6. Mounting ADLS to DBFS Part 110:49
-
7. Mounting ADLS to DBFS Part 28:20
-
8. Mount Storage Container Using f-strings9:02
-
9. Multi-hop Architecture (Medallion Architecture) Part 16:48
-
10. Multi-hop Architecture (Medallion Architecture) Part 210:57
Pandas API on Spark
-
1. Object Creation - Series9:50
-
2. Object Creation - Dataframe7:01
-
3. Object Creation - View Data7:57
-
4. Object Creation - Data Selection9:49
-
5. Applying Python Function with Pandas-on-Spark Object10:45
-
6. Grouping Data3:00
-
7. Plotting Data8:40
-
8. Type Conversion and Native Support for Pandas Objects5:57
-
9. Distributed Execution for Pandas Functions6:09
-
10. Using SQL in Pandas API on Spark3:24
-
11. Conversion from and to Pyspark Dataframe5:29
-
12. Checking Spark Execution Plans5:01
-
13. Caching Dataframes3:44
Pandas Function APIs
-
1. Introduction to Pandas Function APIs1:41
-
2. Pandas Function API - Grouped Map7:59
-
3. Pandas Function API - Map5:00
-
4. Pandas Function API - Cogrouped Map6:10
Pandas User Defined Functions
-
1. Introduction: Pandas User Defined Functions5:04
-
2. Series to Series UDF6:40
-
3. Iterator of Series to Iterator of Series UDF8:44
-
4. Iterator of Multiple Series to Iterator of Series UDF6:10
-
5. Series to Scalar UDF6:14
Thank You
-
1. Congratulations & way forward1:23
About Certified Machine Learning Associate Certification Video Training Course
Certified Machine Learning Associate certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
Prepaway's Certified Machine Learning Associate video training course for passing certification exams is the only solution which you need.
Pass Databricks Certified Machine Learning Associate Exam in First Attempt Guaranteed!
Get 100% Latest Exam Questions, Accurate & Verified Answers As Seen in the Actual Exam!
30 Days Free Updates, Instant Download!
Certified Machine Learning Associate Premium Bundle
- Premium File 74 Questions & Answers. Last update: Dec 08, 2024
- Training Course 118 Video Lectures
Free Certified Machine Learning Associate Exam Questions & Databricks Certified Machine Learning Associate Dumps | ||
---|---|---|
Databricks.realtests.certified machine learning associate.v2024-10-05.by.benjamin.7q.ete |
Views: 0
Downloads: 99
|
Size: 17.46 KB
|
Student Feedback
Can View Online Video Courses
Please fill out your email address below in order to view Online Courses.
Registration is Free and Easy, You Simply need to provide an email address.
- Trusted By 1.2M IT Certification Candidates Every Month
- Hundreds Hours of Videos
- Instant download After Registration
A confirmation link will be sent to this email address to verify your login.
Please Log In to view Online Course
Registration is free and easy - just provide your E-mail address.
Click Here to Register