Machine Learning Course In Pune

Advanced theories of Deep Learning & Artificial Neural Network algorithms are also covered in the course. The major set of learning modules that are included under this application are delivering awareness of supervised, unsupervised, and reinforcement learning theories and modeling working on advanced algorithms, applications, and main elements of Machine Learning Deep dive to the concepts of Deep Learning, Artificial Neural Network algorithms, Principal Component Analysis and clustering algorithms knowing the concepts of support vector machines K-means clustering, random forest classifier, logistic regression working on the live projects & industry case studies on Machine Learning.

Career Benefits of Machine learning-
Detailed understanding of
Machine Learning algorithms: Supervised and Unsupervised
Creating Machine Learning models with various ML boosters and optimizes parameters for best performance
Introduction to Deep Learning
Organizing for IABAC Certification Exam
Experts aspiring to pursue a career in Machine Learning or Data Science in general.
Become an expert in Machine learning and get a job in MNCs.

This course is useful for-
The fresher college student who can apply for this course
Postgraduate students
Any Professionals who want to switch careers in Machine learning.
Candidates who are from non-IT professionals background. They also can join this course.

Why IT Education Centre
We’re enthusiastic about enabling professionals with best practice Data Science abilities.
On course completion, worthy applicants participate in consulting assignments at building block levels to Offer real-time exposure, thus supporting them to gain the confidence to work in real-world data Science jobs
IT Education Centre offer flexible learning choices from the traditional classroom or online program. According to his/her comforts.
Friendly staff and supportive counselors, that are trained to direct you on your career ambitions.

Syllabus Machine Learning

Introduction to Data Science

• What is Data Science
• What does data science involves
• Life cycle of Data Science
• Tools of Data Science
• Introduction to Python

Python Environment Setup and Essentials

• Introduction to python
• Software installation
• Basic operators and functions
• Data types with python
• Conditional statement

Machine learning using scikit-learn

• Machine learning Process Flow
• Machine learning categories
• Feature selection and extraction in machine learning
• Supervised learning algorithms
• Regression
• Simple linear Regression
• Applications of linear regression
• Building regression models using python
  Process to implement linear regression
• Coefcient of determination (R- Squared)
• Accuracy of model
• Multiple linear Regression
• Classication
• Logistic Regression
• Building Logistic Regression Model
• Understanding standard model metrics
• (Validation of Logistic Regression Models
• Standard Business Outputs

 Download Full Syllabus