- Home
- Training Courses
- Certifications
- Certified Machine Learning Associate
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.
Rating
4.01
Students
127
Duration
15:38:44 h
$16.49
$14.99
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
100% Latest & Updated Databricks Certified Machine Learning Associate Practice Test Questions, Exam Dumps & Verified Answers!
30 Days Free Updates, Instant Download!
Certified Machine Learning Associate Premium Bundle
- Premium File: 74 Questions & Answers. Last update: Oct 8, 2024
- Training Course: 118 Video Lectures
- Latest Questions
- 100% Accurate Answers
- Fast Exam Updates
$74.98
$64.99
Free Certified Machine Learning Associate Exam Questions & Certified Machine Learning Associate Dumps
| File Name | Size | Votes |
|---|---|---|
File Name databricks.real-exams.certified machine learning associate.v2024-08-19.by.abdulrahman.7q.vce |
Size 17.58 KB |
Votes 1 |
Databricks Certified Machine Learning Associate Training Course
Want verified and proven knowledge for Certified Machine Learning Associate? Believe it's easy when you have ExamSnap's Certified Machine Learning Associate certification video training course by your side which along with our Databricks Certified Machine Learning Associate Exam Dumps & Practice Test questions provide a complete solution to pass your exam Read More.
Prepared by Top Experts, the top IT Trainers ensure that when it comes to your IT exam prep and you can count on ExamSnap Certified Machine Learning Associate certification video training course that goes in line with the corresponding Databricks Certified Machine Learning Associate exam dumps, study guide, and practice test questions & answers.
Comments (0)
Add Comment
Please post your comments about Certified Machine Learning Associate Exams. Don't share your email address asking for Certified Machine Learning Associate braindumps or Certified Machine Learning Associate exam pdf files.
Purchase Individually
Certified Machine Learning Associate
Premium File
74 Q&A
$65.99
$59.99
Certified Machine Learning Associate
Training Course
118 Lectures
$16.49
$14.99
Only Registered Members can View Training Courses
Please fill out your email address below in order to view Training 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
Latest IT Certification News
- Cisco CCNP Enterprise 300-420 ENSLD - SD Access Fabric Design Part 2
- Amazon AWS DevOps Engineer Professional - Configuration Management and Infrastructure Part 9
- VMware VCAP6-NV 3V0-643 – Introduction
- CompTIA IT Fundamentals FC0-U61 - IT Security Threat Mitigation
- SY0-501 Section 1.1- Implement security configuration parameters on network devices and other technologies.
- Google Professional Data Engineer - Dataflow ~ Apache Beam Part 2
- SY0-501 Section 3.1 Explain types of malware.
- Basic CompTIA Certifications for you
- Best Cisco Security Certifications In 2018
- ISACA CRISC - IT Risk Assessment
- MB-310 Microsoft Dynamics 365 - Financial Dimensions and Account structures
- Tips To Write A Perfect CV
- SY0-501 Section 4.1-Explain the importance of application security controls and techniques.
- Explore the Best Computer Jobs to Take Your First Step into the Future
