Machine Learning Python Case Study - Predictive Modeling
Machine Learning
Python,Machine Learning,Development
Lectures -69
Resources -1
Duration -9 hours
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Course Description
This machine learning training provides the three most important and highly in-demand skills. These skills are the tangible benefits of this online training course:
- Understanding of Fundamental concepts: To be a successful data scientist, it is very important that one understands each and every concept well enough. Machine learning is not only about programming hence one needs to understand a lot of theory as well. This training course covers all the fundamental concepts in a very detailed manner.
- Python programming: Python is again a very popular data science programming language. People skilled in Python are huge in demand. Especially those people who know both R and Python are very well received by industries and this Machine learning course, therefore, teaches both of these.
Goals
What will you learn in this course:
- This course has been carefully crafted in order to upgrade oneself in the genre of Data Analysis and Data Science. This training will go a long way in making you the data scientist organizations are looking out for by means of making you understand deeper concepts of Machine Learning!
Prerequisites
What are the prerequisites for this course?
This course has some pre-requisite to ensure that the candidates who enroll for it are well prepared to understand the course material. The pre-requisite is not too long and is also possible that a student can take a bridge course if pre-requites are not met.
- Students should have enough familiarity with basic linear algebra, calculus, probability, and statistic. These courses need not be at a very high level. If you remember what you learned in high school or junior college or can revise it quickly, then that should be enough.
- Familiarity with at least one programming language is recommended. Anyone language such as C, C++, Java, PHP, etc. is fine. This ensures that you understand the programming examples and assignments and do not spend too much time there. If you have not done coding before, you can take a bridge course before enrolling for this machine learning training. This will make your life very easy.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction and Installation
3 Lectures
- Introduction to Predictive Modelling with Python 06:27 06:27
- Installation 08:37 08:37
- Courses Files
Data Preproccessing
6 Lectures
Linear Regression
6 Lectures
Salary Prediction
5 Lectures
Profit Prediction
9 Lectures
Boston Housing
11 Lectures
Logistic Regression
8 Lectures
Diabetes
11 Lectures
Credit Risk
10 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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