Machine Learning Certification Course
4.5 /5- Offered byVerzeo
Machine Learning Certification Course at Verzeo Overview
Duration | 4 months |
Mode of learning | Online |
Credential | Certificate |
Machine Learning Certification Course at Verzeo Highlights
- Weekly Mentoring Sessions With Industry Experts
- 200+ Hours Of Learning
- Teaching Associate For Code Reviews
- No Cost EMI Option
- Certificates From Internationally Renowned Universities And Firms
- Practical Exposure Through Real-Time Projects And Assignments
Machine Learning Certification Course at Verzeo Course details
- Data Wrangling & Exploration
- Machine Learning Algorithms
- Statistics
- Python Programming
- Natural Language Processing (NLP)
- Verzeo's Machine Learning certification program learns about all the important concepts in Machine Learning from basics of Python to the Machine Learning implementation
- Machine Learning modifies and improves applications and other programs through experiences
- It is one of the most diverse fields in Computer Science
- Researchers believe that it is one of the best ways to pave a path towards human-level AI
- Overall, machine learning is a very remunerative (and exciting) course
Machine Learning Certification Course at Verzeo Curriculum
Introduction to Phython
In this section student will learn about the Python fundamentals and the Data Types, List,Dictionary.
Introduction to Data Science
In this section student will learn about error handling pandas and the concept of visualization
Introduction to Machine Learning and itsTools
Get to know about Machine Learning and the difference between a rule based algorithm and a machine learning algorithm.
Machine Learning Algorithms
Learn about the training, testing and cross validation of data followed by the features and labels pickling, scaling, techniques and Error Metrics
Machine Learning Implementation
Learn about the implementation of all the algorithms using Sklearn and the explanation on major projects
Basics of Statistics
Learn about the Gaussian/Normal Distribution, followed by the sampling distribution and Central Limit Theorem along with the other important topics
Introduction to KNN
Get introduced to the KNN model and demo using Python along with being familiar with Overfitting (Bias-Variance Trade off) and Underfitting
Introduction to Regression
Learn about important topics including Simple Linear Regression, Multiple linear regression, evaluation Matrix-RMSE and demo of linear regression in Python
Introduction to NLP
Along with the introduction to Time Series Forecasting (Decomposition & ARIMA), Text Mining and about the importance of NLP
Main Project Discussion
This is the last section which will focus on the project discussion and the final endnotes. Also, to add a golden feather to personality, get the hold of our Personality Development section
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