- To enhance the skills in Machine Learning.
- Can run Machine Learning Algorithms with Python.
At the end of the Training tenure the students will be able to work on Machine Learning using Python.
- 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 'email@example.com' 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.
- Video Count29
- Duration 6 hours
- Skill level Middle Level
- Language English