Data science is a field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. It is a multidisciplinary field that combines aspects of statistics, computer science, mathematics, and domain knowledge. Data scientists use data to solve problems, make predictions, and create new products and services.

Python is a general-purpose, high-level programming language. It is one of the most popular programming languages in the world, and for good reason. Python is easy to learn, yet powerful enough to be used for a variety of tasks.

Data analysis pipelines are a set of steps that are used to extract, transform, load, and analyze data. The goal of a data analysis pipeline is to automate the process of data analysis so that it can be done quickly and efficiently.

Data extraction is the process of retrieving data from one or more sources for the purpose of storing it, transforming it, integrating it, and analyzing it for business intelligence or advanced analytics. Data extraction is the first step in the ETL (extract, transform, load) process.

For basic data analysis, Excel can be used to sort, filter, and calculate data. It can also be used to create charts and graphs that visualize data. For advanced data analysis, Excel can be used to create pivot tables, use data analysis tools, and automate tasks with macros.

Visualization
Data Cleaning
Imputation Techniques
Scatter Plot
Correlation analysis
Transformations
Normalization and Standardization

Description: Learn about the Multiple Logistic Regression and understand the Regression Analysis, Probability measures and its interpretation. Know what is a confusion matrix and its elements. Get introduced to “Cut off value” estimation using ROC curve. Work with gain chart and lift chart.

Topics

Multiple Logistic Regression
Confusion matrix
False Positive, False Negative
True Positive, True Negative
Sensitivity, Recall, Specificity, F1 score
Receiver operating characteristics curve (ROC curve)

Android Wear smartwatch are gaining more and more popular since the most recent models have superior looks and features like updated gestures and entertaining watch faces. As a result, an increasing number of developers are including the Wear API in their apps to ensure that they can communicate with smart watches.

Descriptive Statistics
Data Types, Measure Of central tendency, Measures of Dispersion
Graphical Techniques, Skewness & Kurtosis, Box Plot

What is ChatGPT?
The history of ChatGPT
Applications of ChatGPT

I believe you have a basic idea of what App entails in the present day. Despite all of its difficulties, creating Android apps is quite simple because to the vast online instructions and the ever-improving developer tools. You will learn how to set up Android Studio on your computer in the following paragraph of this series, which will be your initial step toward being an Android app programmer.