Created by Nizamuddin Siddiqui | Published 11/2019
Duration: 1 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 500 MB
Genre: eLearning | Language: English + Sub | 15 Lectures

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Understand the use of Data Science and some of its important concepts with a Real Life problem!

What you'll learn
Data Science definition in layman language and it's need
8 Mistakes made by people who want to start their career in Data Science
3 Myths about Data Science
Data Types and Variables
Definition of Data Cleaning and the errors that results in the need of Data Cleaning
Feature Engineering
Data Thinking Development
Use of many Algorithms
Example to select the best model in case of a classification problem
Types of Learning Methods
Requirements
You are a beginner in Data Science
You are thinking about moving into Data Science
You want to know "What Data Science is all about?"
You are a business person and want to understand the use of Data Science
Description
Welcome to the ultimate course on Data Science Approach from Scratch

This course is your best resource for learning the use of Data Science

We will be understanding the use of:

1. Data Science from a layman's perspective

2. Regression Algorithms

3. Classification Algorithms

4. Clustering Algorithms

5. Boosting Algorithms

6. Dimensionality Reduction Algorithms

Specifically, we will cover:

Linear Regression

Stepwise Regression

Polynomial Regression

Logistic Regression

Naive Bayes

Decision Trees

Random Forest

Support Vector Machine

Gradient Boosting

Principal Component Analysis and Linear Discriminant Analysis

K-means Clustering and Hierarchical Clustering

and much more!

Feel free to message me on Udemy if you have any questions about the course!

Thanks for checking out the course page, and I hope to see you inside!

Nizamuddin

Who this course is for:
Aspiring Data Scientists
Data Science Enthusiasts
Students and professionals curious about Data Science
[i][/i]Screenshots