Machine Learning

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Course Overview


- To enhance the skills in Machine Learning.

 Program Outcome: 

- Can run Machine Learning Algorithms with Python.

 Training Outcome:   

At the end of the Training tenure the students will be able to work on Machine Learning using Python.

 Software Used:  

- Python IDLE, Jupyter

 Training Syllabus : 

About Python– Importance– Features - Basic Programs - Variables - Conditions - Loops - Numbers - String - List - Tuple - Dictionary - Function - Modules & Packages.

Elements of Machine Learning - Statistical Methods for Data Science - Jupyter Notebook Installation - Linear Regression Algorithm - Implementation of Linear Regression Algorithm using Python - Logistic Regression Algorithm - Implementation of Logistic Regression Algorithm using Python - K Nearest Neighbour Algorithm - Implementation of K Nearest Neighbour Algorithm using Python - Decision Tree and Random Forest Algorithm - Implementation of Decision Tree and Random Forest Algorithm using Python - Naive Bayes Classifier - Implementation of Naive Bayes Classifier using Python


 Additional Information : 

- This Online Course Program has a validity of 3 year, which is calculated from the date of purchase.

- In case of doubts You can message the Trainer in our portal after purchasing the Module, he will be assisting you if the doubts is from the mentioned training contents. 

- After practicing the training schedule you are suppose to send the practiced application to our email '' which will be verified in 24-48 hours and we will update you the status.

- After Validating the practical works the certificate can be issued upto a maximum duration of 3 Months which will be discussed over Phone or email for your confirmation before processing the certificate works.

Course Certificate - After successful verification of the Worked out files you can receive the certificate as soft copy or Hard copy.

Soft copy Certificate can be downloaded in your course panel.

Hard copy Certificate [optional] will be couriered to your address  with a additional charge of Rupees 100 /- , this option will also be in course panel.

Course Features

  • Video Count29
  • Duration 6 hours
  • Skill level Middle Level
  • Language English

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