Beginning with Machine Learning & Data Science in Python (Udemy.com)
Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML
Created by: UNP United Network of Professionals
Produced in 2018
What you will learn
- You will be able to apply data science algorithms for solving industry problems
- You will have a clear understanding of industry standards and best practices for predictive model building
- You will be able to derive key insights from data using exploratory data analysis techniques
- You will be able to efficiently handle data in a structured way using Pandas
- You will have a strong foundation of linear regression, multiple regression and logistic regression
- You will be able to use python scikit-learn for building different types of regression models
- You will be able to use cross validation techniques for comparing models, select parameters
- You will know about common pitfalls in modeling like over-fitting, bias-variance trade off etc..
- You will be able to regularize models for reliable predictions
Quality Score
Overall Score : 86 / 100
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Course Description
This is a concise course created by UNP to focus on what matter most. This course will help you create a solid foundation of the essential topics of data science. With a solid foundation, you will be able to go a long way, understand any method easily, and create your own predictive analytics models.
At the end of this course, you will be able to:
- Get your hands dirty by building machine learning models
- Master logistic and linear regression, the workhorse of data science
- Build your foundation for data science
- Fast-paced course with all the basic & intermediate level concepts
- Learn to manage data using standard tools like Pandas
Special emphasis is given to regression analysis. Linear and logistic regression is still the workhorse of data science. These two topics are the most basic machine learning techniques that everyone should understand very well. Concepts of over fitting, regularization etc. are discussed in details. These fundamental understandings are crucial as these can be applied to almost every machine learning methods.
This course also provide an understanding of the industry standards, best practices for formulating, applying and maintaining data driven solutions. It starts off with basic explanation of Machine Learning concepts and how to setup your environment. Next data wrangling and EDA with Pandas are discussed with hands on examples. Next linear and logistic regression is discussed in details and applied to solve real industry problems. Learning the industry standard best practices and evaluating the models for sustained development comes next.
Final learning are around some of the core challenges and how to tackle them in an industry setup. This course supplies in-depth content that put the theory into practice.Who this course is for:
- Anyone willing to take the first step towards data science
- Anyone willing to develop a solid foundation for data science
- Anyone planning to build the first regression / machine learning models
- Anyone willing to learn exploratory data analysis
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Instructor Details
- 4.3 Rating
11 Reviews
UNP United Network of Professionals
At UNP our vision is to make learning fun, fulfilling and personalized. We are working towards democratizing data science and breaking down the entry barrier to analytics and data science world.
We are committed to develop and publish top-notch data science learning materials. The materials are designed to make the students ready for the data science industry. All the contents developed at UNP are digital, either as e-books, video lectures, VR classrooms. Apart from distributing contents to individuals, we provide support for learning materials for corporate clients.
The learning materials are developed only by experienced data science professionals and professors from tier 1 universities. Every material goes through strict review procedure before it gets published. Every material coming out from UNP is accompanied by code snippets, application to industrial projects and tips to prepare for a job interviews.
Aligned with our vision, UNP scholarship program is set to provides learning opportunities for students with financial challenges.
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- Video Duration:
3.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider:
Udemy - Year:
2018 - Language:
English, English [Auto-generated] - Certificate:
Yes
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