Best Machine Learning Online Course and Certification Training-18
- This Machine Learning course offered by SkillEnhanced is created by SMEs from top product-based organizations to address the issues faced by the current data-driven industry.
- It covers a point by point outline of different calculations and procedures, for example: Relapse
- Grouping
- Time-based modeling
- Directed
- Solo learning
Natural Language Processing and so forth.
3. You will likewise utilize Python to compose code for the application of various calculations in this certification training.
WHAT WILL YOU INTAKE IN THIS MACHINE LEARNING CERTIFICATION OFFERED BY SKILLENHANCED?
- Overview of machines using data
- Representation of artificial neural networks
- Understanding machine learning models like supervised and unsupervised learning in-depth
- Categorizing data using Python and logistic regression
- Understanding k-means clustering, decision trees, and Naive Bayes
- Mastering random forest and designing various applications
- Performing linear regression on multiple variables using Python
- Natural Language Processing and text mining using Python
- Mastering the fundamentals of Deep Learning
- Time series analysis and creating models for the analysis.
WHO SHOULD ENROLL FOR THIS MACHINE LEARNING TRAINING?
- Professionals working in the domains of Data Science
- Analytics, and BI
- Professionals employed in fields of search engines and e-commerce
- Professionals seeking a career change
- Undergraduates and freshers
WHAT KIND OF PROJECTS ARE INCLUDED IN THIS MACHINE LEARNING ONLINE PROGRAM?
- As part of this online course, you will work on real-world projects in the fields of :
- E-commerce
- Automation
- Marketing
- Sales
- Banking
- Internet
- Insurance, and more.
- Our projects include building a chatbot to answers customer queries, building a recommendation system, fare prediction for taxi booking, analyzing the trends of COVID-19 with Python, customer churn classifier, etc.
Upon the successful project completion, your skills will be equivalent to 6 months of comprehensive industry experience.
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1
Volume 01 - Introduction to Machine Learning -
2
Volume 02 - Supervised Learning and Linear Regression
-
3
Volume 03 - Classification and Logistic Regression
-
4
Volume 04 - Decision Tree and Random Forest
-
5
Volume 05 - Naïve Bayes and Support Vector Machine (self-paced)
-
6
Volume 06 - Unsupervised Learning
-
7
Volume 07 - Natural Language Processing and Text Mining (self-paced)
-
8
Volume 08 - Introduction to Deep Learning
-
9
Volume 09 - Time Series Analysis (self-paced)
-
10
Volume 01 - Introduction to Machine Learning
-
11
Volume 02 - Supervised Learning and Linear Regression
-
12
Volume 03 - Classification and Logistic Regression
-
13
Volume 04 - Decision Tree and Random Forest
-
14
Volume 05 - Naïve Bayes and Support Vector Machine (self-paced)
-
15
Volume 06 - Unsupervised Learning
-
16
Volume 07 - Natural Language Processing and Text Mining (self-paced)
-
17
Volume 08 - Introduction to Deep Learning
-
18
Volume 09 - Time Series Analysis (self-paced)
Overview of machines using data
Representation of artificial neural networks
Understanding machine learning models like supervised and unsupervised learning in depth
Categorizing data using Python and logistic regression
Understanding k-means clustering, decision trees, and Naive Bayes
Mastering random forest and designing various applications
Performing linear regression on multiple variables using Python
Natural Language Processing and text mining using Python
Mastering the fundamentals of Deep Learning
Time series analysis and creating models for the analysis.
Representation of artificial neural networks
Understanding machine learning models like supervised and unsupervised learning in depth
Categorizing data using Python and logistic regression
Understanding k-means clustering, decision trees, and Naive Bayes
Mastering random forest and designing various applications
Performing linear regression on multiple variables using Python
Natural Language Processing and text mining using Python
Mastering the fundamentals of Deep Learning
Time series analysis and creating models for the analysis.
Professionals working in the domains of Data Science
Analytics, and BI
Professionals employed in fields of search engines and e-commerce
Professionals seeking a career change
Undergraduates and freshers
Analytics, and BI
Professionals employed in fields of search engines and e-commerce
Professionals seeking a career change
Undergraduates and freshers
As part of this online Course , you will work on real-world projects in the fields of :
E-commerce
Automation
Marketing
Sales
Banking
Internet
Insurance, and more.
Our projects include building a chat bot to answers customer queries, building a recommendation system, fare prediction for taxi booking, analyzing the trends of COVID-19 with Python, customer churn classifier, etc.
Upon the successful project completion, your skills will be equivalent to 6 months of comprehensive industry experience.
E-commerce
Automation
Marketing
Sales
Banking
Internet
Insurance, and more.
Our projects include building a chat bot to answers customer queries, building a recommendation system, fare prediction for taxi booking, analyzing the trends of COVID-19 with Python, customer churn classifier, etc.
Upon the successful project completion, your skills will be equivalent to 6 months of comprehensive industry experience.
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