Machine Learning using PySpark
Harness the power of Hadoop with PySpark mLib
Classes : 20 Days : 2 months Duration : Weekdays / Weekends
Interested in the field of Machine Learning using pySpark and Hadoop? Then this course is for you!
This course has been designed by two professional Data Scientists, each over 20 years of exp from US and EU, so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This expert training from Vyom Data Sciences helps you understand the concepts and techniques using Python algorithms, supervised and unsupervised learning, statistics and probability, decision trees, random forests, and linear and logistic regression through real-world projects.
Anyone can take this Machine Learning course certification training to become a successful Machine Learning Engineer.
Who should take up this Machine Learning certification training course?
Professionals in Analytics, Data Science, E-commerce, and Search Engine domains
Software professionals looking for a career switch Fresh graduates
This course has been designed by two professional Data Scientists, each over 20 years of exp from US and EU, so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This expert training from Vyom Data Sciences helps you understand the concepts and techniques using Python algorithms, supervised and unsupervised learning, statistics and probability, decision trees, random forests, and linear and logistic regression through real-world projects.
Anyone can take this Machine Learning course certification training to become a successful Machine Learning Engineer.
Who should take up this Machine Learning certification training course?
Professionals in Analytics, Data Science, E-commerce, and Search Engine domains
Software professionals looking for a career switch Fresh graduates
-You are familiar with pySpark , SQL and basic Statistics
- Introdution
- Setup Environment
- Supervised / Unsupervised Learning
- Logistic Regression
- Linear Regression
- SVM
- PCA
- K nearest neighbours
- K-means
- Naive Bayes
- Decision Trees
- Graph
- Data Mining
- GMM
- Setup Environment
- Supervised / Unsupervised Learning
- Logistic Regression
- Linear Regression
- SVM
- PCA
- K nearest neighbours
- K-means
- Naive Bayes
- Decision Trees
- Graph
- Data Mining
- GMM
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.