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Certified Machine Learning Associate: Certified Machine Learning Associate

PDFs and exam guides are not so efficient, right? Prepare for your Databricks examination with our training course. The Certified Machine Learning Associate course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Databricks certification exam. Pass the Databricks Certified Machine Learning Associate test with flying colors.

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15:38:44 h

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Curriculum for Certified Machine Learning Associate Certification Video Course

Getting started with Databricks Machine Learning

6 Lectures

Time 00:35:55

Databricks Runtime for Machine

3 Lectures

Time 00:17:54

AutoML (Classification, Regression, Forecasting)

12 Lectures

Time 01:35:18

Feature store

2 Lectures

Time 00:23:01

Managed MLflow

12 Lectures

Time 01:46:23

Exploratory Data Analysis & Feature Engineering

14 Lectures

Time 01:53:41

Hyperparameter Tuning with Hyperopt

17 Lectures

Time 02:38:09

Spark ML Modeling APIs - Binary Classification

7 Lectures

Time 01:11:35

Spark ML Modeling APIs - Regression with GBT & MLib Pipelines

5 Lectures

Time 00:47:42

Spark ML Modeling APIs - Decision Trees SFO Airport Survey

7 Lectures

Time 00:51:26

Pandas on Databricks & Accessing Data ADLS

10 Lectures

Time 01:15:49

Pandas API on Spark

13 Lectures

Time 01:26:46

Pandas Function APIs

4 Lectures

Time 00:20:50

Pandas User Defined Functions

5 Lectures

Time 00:32:52

Thank You

1 Lectures

Time 00:01:23

Name of Video	Time
1. Introduction to Databricks Machine Learning	6:27
2. Lab: Databricks Workspace with Community Edition	6:26
3. Lab: Databricks Workspace with Azure Cloud	8:37
4. Databricks User Interface Overview	8:55
5. Azure Databricks Architecture Overview	3:06
6. Resources Created by Azure Databricks Workspace	2:24

Name of Video	Time
1. Introduction to Databricks Runtime for Machine Learning	6:21
2. Lab: Creating Databricks ML Cluster	6:29
3. Explore Cluster Features from UI	5:04

Name of Video	Time
1. Introduction to AutoML	8:02
2. AutoML Regression Databricks UI Part - 1	10:44
3. AutoML Regression Databricks UI Part - 2	11:25
4. AutoML Regression Databricks UI Part - 3	12:15
5. AutoML Regression Databricks Python API Part - 1	9:24
6. AutoML Regression Databricks Python API Part - 2	4:46
7. AutoML Classification Part - 1	10:06
8. AutoML Classification Part - 2	7:09
9. AutoML Forecasting Databricks UI Part - 1	8:20
10. AutoML Forecasting Databricks UI Part - 2	2:46
11. AutoML Forecasting Databricks Python API Part - 1	6:11
12. AutoML Forecasting Databricks Python API Part - 2	4:10

Name of Video	Time
1. Databricks Feature store Part - 1	11:05
2. Databricks Feature store Part - 2	11:56

Name of Video	Time
1. Introduction to Mlflow	8:56
2. Lab : Mlflow Logging API Part - 1	10:25
3. Lab : Mlflow Logging API Part - 2	6:44
4. Lab : Mlflow Logging API Part - 3	5:47
5. Lab: ML End-to-End Example Part - 1	10:53
6. Lab: ML End-to-End Example Part - 2	11:27
7. Lab: ML End-to-End Example Part - 3	10:28
8. Lab: ML End-to-End Example Part - 4	7:54
9. Lab: ML End-to-End Example Part - 5	7:26
10. MLFlow Model Registry Part - 1	10:22
11. MLFlow Model Registry Part - 2	5:50
12. MLFlow Model Registry Part - 3	10:11

Name of Video	Time
1. Introduction to Exploratory Data Analysis	4:34
2. Exploratory Data Analysis: Explore the Data Part 1	13:13
3. Exploratory Data Analysis: Explore the Data Part 2	9:39
4. Exploratory Data Analysis: Explore the Data Part 3	9:14
5. Exploratory Data Analysis: Data Visualization	11:18
6. Exploratory Data Analysis: Pandas Profiling	12:29
7. Feature engineering: Missing Value Imputation	8:32
8. Feature engineering: Outlier Removal	7:58
9. Feature engineering: Feature Creation	7:43
10. Feature engineering: Feature Scaling	6:44
11. Feature engineering: One-Hot-Encoding	6:00
12. Feature engineering: Feature Selection	6:19
13. Feature engineering: Feature Transformation	4:44
14. Feature engineering: Dimensionality Reduction	5:14

Name of Video	Time
1. Hyperparameter Basics	6:29
2. Introduction to Hyperparameter tuning with Hyperopt	2:15
3. Hyperparameter Parallelization: Loading the Dataset	6:55
4. Hyperparameter Parallelization: Single-Machine Hyperopt Workflow	8:55
5. Hyperparameter Parallelization: Distributed tuning using Apache Spark and MLflow	11:05
6. Model Selection with Hyperopt & MLflow Part 1	5:40
7. Model Selection with Hyperopt & MLflow Part 2	5:49
8. Model Selection with Hyperopt & MLflow Part 3	15:15
9. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 1	11:27
10. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 2	12:17
11. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 3	3:44
12. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 4	13:45
13. Tuning Distributed Training Algorithms (Hyperopt & Apache Spark MLlib) Part 5	6:05
14. Automated MLflow Tracking & Cross-Validation Part 1	10:21
15. Automated MLflow Tracking & Cross-Validation Part 2	11:47
16. Automated MLflow Tracking & Cross-Validation Part 3	7:30
17. Automated MLflow Tracking & Cross-Validation Part 4	18:50

Name of Video	Time
1. Binary Classification - Loading Dataset	11:59
2. Binary Classification - Data Preprocessing & Feature Engineering Part 1	9:55
3. Binary Classification - Data Preprocessing & Feature Engineering Part 2	10:56
4. Binary Classification - Logistic Regression Part 1	12:32
5. Binary Classification - Logistic Regression Part 2	11:45
6. Binary Classification - Random Forest	9:35
7. Binary Classification - Making Predictions	4:53

Name of Video	Time
1. Regression with GBT & MLlib Pipelines - Data Preprocessing Part 1	13:00
2. Regression with GBT & MLlib Pipelines - Data Preprocessing Part 2	7:56
3. Regression with GBT & MLlib Pipelines - Train ML Pipeline Part 1	9:36
4. Regression with GBT & MLlib Pipelines - Train ML Pipeline Part 2	8:26
5. Regression with GBT & MLlib Pipelines - Predicting and Evaluating ML Model	8:44

Name of Video	Time
1. Decision Trees SFO Airport Survey - Business Problem	3:17
2. Decision Trees SFO Airport Survey - Loading Dataset	2:51
3. Decision Trees SFO Airport Survey - Understanding Dataset	7:32
4. Decision Trees SFO Airport Survey - Creating Model Part 1	10:47
5. Decision Trees SFO Airport Survey - Creating Model Part 2	5:44
6. Decision Trees SFO Airport Survey - Evaluating the Model	7:26
7. Decision Trees SFO Airport Survey - Feature Importance	13:49

Name of Video	Time
1. Introduction to Pandas on Databricks	1:15
2. Store & Load Data with Pandas	7:07
3. Working with Files on Databricks	7:08
4. Accessing Data via Access Key	10:46
5. Accessing Data via SAS Token	3:37
6. Mounting ADLS to DBFS Part 1	10:49
7. Mounting ADLS to DBFS Part 2	8:20
8. Mount Storage Container Using f-strings	9:02
9. Multi-hop Architecture (Medallion Architecture) Part 1	6:48
10. Multi-hop Architecture (Medallion Architecture) Part 2	10:57

Name of Video	Time
1. Object Creation - Series	9:50
2. Object Creation - Dataframe	7:01
3. Object Creation - View Data	7:57
4. Object Creation - Data Selection	9:49
5. Applying Python Function with Pandas-on-Spark Object	10:45
6. Grouping Data	3:00
7. Plotting Data	8:40
8. Type Conversion and Native Support for Pandas Objects	5:57
9. Distributed Execution for Pandas Functions	6:09
10. Using SQL in Pandas API on Spark	3:24
11. Conversion from and to Pyspark Dataframe	5:29
12. Checking Spark Execution Plans	5:01
13. Caching Dataframes	3:44

Name of Video	Time
1. Introduction to Pandas Function APIs	1:41
2. Pandas Function API - Grouped Map	7:59
3. Pandas Function API - Map	5:00
4. Pandas Function API - Cogrouped Map	6:10

Name of Video	Time
1. Introduction: Pandas User Defined Functions	5:04
2. Series to Series UDF	6:40
3. Iterator of Series to Iterator of Series UDF	8:44
4. Iterator of Multiple Series to Iterator of Series UDF	6:10
5. Series to Scalar UDF	6:14

Name of Video	Time
1. Congratulations & way forward	1:23

Databricks Certified Machine Learning Associate Exam Dumps, Practice Test Questions

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Premium File: 74 Questions & Answers. Last update: Nov 9, 2024
Training Course: 118 Video Lectures

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Certified Machine Learning Associate Premium Bundle

Premium File: 74 Questions & Answers. Last update: Nov 9, 2024
Training Course: 118 Video Lectures

Latest Questions
100% Accurate Answers
Fast Exam Updates

$74.98

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Free Certified Machine Learning Associate Exam Questions & Certified Machine Learning Associate Dumps

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Databricks Certified Machine Learning Associate Training Course

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