Excelling in Machine Learning using Python
What you'll learn
- Context of machine learning in today’s business world
- Understanding machine learning life cycle
- Techniques used in various phases of ML life cycle
- Core understanding of ML algorithms
- Implementation of ML algorithms
- Model interpretation & optimization
Requirements
- Understanding of Python programming
Description
Yes, you are exploring the right course in the exciting field of machine learning.
Let us find the reasons in this course – Why to learn ML?
Let us find the path of ML learning – What to learn in ML?
Let us find the way of ML learning – How to learn ML?
In my 28 years of experience in software field, machine learning is one of my most exciting techno- managerial area to work and teach. In my opinion this skill will be the need of most of the business stake holders in every field. Machine learning is the core component of Artificial Intelligence and Data Science.
That’s why, in this course we will be learning core concepts of various algorithms in in simple language. You need good understanding of algorithms/models for correct implementation of it. Also, that will help in effective Optimization, Interpretation and Communication of the output of the model to various stake holders.
In this course, you will understand the various steps of model implementation in Python.
This course lectures consists of many supervised and unsupervised algorithms like Regression, Logistic regression, KNN, SVM, Naïve Bayes, Decision Tree, Random Forest, K-Means, Hierarchical clustering, etc. with core concepts and Python implementation of various ML life cycle.
So are you thrilled…..then why are you waiting for…. Let us explore this course….
Who this course is for:
- Executives, software developers, Analysts who are in the transition of evolving career of Machine learning
- Students to jumpstart in exciting and lucrative future of Machine learning
- Managers to upgrade their skills in this demanding Machine learning field
- Academics for understanding core concepts of Machine learning
Instructor
- 3.9 Instructor Rating
- 386 Reviews
- 20,766 Students
- 4 Courses
I am in the software industry for last twenty eight years. In this progression, I have undertaken various projects and training programs. From last seven years, I am working as a freelancer trainer/faculty and consultant so that I can share my knowledge and experience.
Academic qualification of Bachelor of Engineering and Master of Management Studies .
Worked as Project Manager, Data Analyst, Business Analyst, Solution Architecture, Consultant, Trainer, etc.
Domains knowledge of Marketing, Financial, Insurance, Health Care, E-commerce, etc.
Experience in India and USA on various IT projects.
Conducts courses on:
Artificial Intelligent - Machine Learning & Data science using Python & R
Managerial Decisions with Business Models & Data Analysis Using Excel
Statistics for Business Analysis and Data Analysis
Data Visualization using Tableau & Power BI for
Python & R Programming