Data Science A-Z Real Life Data Science Exercises Included Free

Data Science A-Z™: Real Life Data Science Exercises Included

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Last Updated on April 1, 2021

Free Course-Data Science A-Z™: Real Life Data Science Exercises Included Free Download Paid Course From Google Drive. It is provided by udemy course it is a paid course Download IN free.

Successfully manage all phases of a complex data science project
Create basic table visualizations
Do data mining on the table

Learn how to use chi-squared statistical testing
Apply the standard least squares method to generate linear regressions
R-squared estimation for all types of models

Estimate the adjusted R-squares for all types of models
Create Simple Linear Regression (SLR)
Create Multiple Linear Regression (MLR)
Create dummy variables

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Understand the coefficients of MLR
Read the statistical software output for the samples created
Use backward elimination, forward selection, and bi-directional elimination techniques to create statistical models

Data Science A to Z Real Life Data Science Exercises Included

Create logistic regression
Understand logistic regression intuitively
Work with false positives and false negatives and learn the difference
Read the confusion matrix

Create a strong geodynamic partitioning model
Convert the independent variables to modeling purposes
Get new independent variables for modeling purposes
Validate multicollinearity using VIF and correlation matrices
Understanding Multicollinearity
Apply Cumulative Accuracy Profile ( CAP) to evaluate models
Build the CAP Curve in Excel

Use training and test data to create robust models
Insights from the CAP curve
Understand the attachment ratio
Obtain business statistics from the coefficients of logistic regression
Understand what model fallout actually is
Apply three-level model management without damaging the model
Install and navigate to SQL Server

Install and navigate to Microsoft Visual Studio Shell
Clean up the data and look for errors
Use SQL Server Integration Services (SSIS) to upload data to the database
Create conditional partitions in SSIS
Handle text qualifier errors in raw data
Create scripts in SQL

Apply SQL in Data Science Projects
Create procedures stored in SQL
Introduce data science projects to those concerned

Data Science A to Z Real Life Data Science Exercises Included Requirements
Only passionate about the success
All software used in this course is available as a free or demo version

Data Science A to Z Real Life Data Science Exercises Included Description

So many hands… incredible, practical… incredible!

This is not one of the fluffiest classes, the way everything works properly and your training is smooth sailing. This course throws you to the deep end.

In this course, you will experience all the pain that a Data Scientist experiences on a regular basis. Damaged data, misuse, or manipulation – you name it!

This course will give you a complete overview of the data science journey.Data Science A to Z Real Life Data Science Exercises Included You will know when completing this course:

How to do basic visualization of your data
How to model your data
How to set up your data curve
Lastly, how to present your results and attract an audience
This course will give you a lot of practical exercises and when you graduate this class, the real world will look like a piece of cake. This course includes homework exercises, which can be frustrating and challenging and you want to cry… but you won’t give up! You break it down. In this course you will have a good idea of the following tools:

In the Great
This course includes advance plans. Using these paths you will be able to navigate the course and integrate the sections into your own journey, which will get you the skills you need.

Size: 5.82 GB

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