π¦Top 10 Data Science Toolsπ¦
Here we will examine the top best Data Science tools that are utilized generally by data researchers and analysts. But prior to beginning let us discuss about what is Data Science.
π°What is Data Science ?
Data science is a quickly developing field that includes the utilization of logical strategies, calculations, and frameworks to extract experiences and information from organized and unstructured data .
π½Top Data Science Tools that are normally utilized :
1.) Jupyter Notebook : Jupyter Notebook is an open-source web application that permits clients to make and share archives that contain live code, conditions, representations, and narrative text .
2.) Keras : Keras is a famous open-source brain network library utilized in data science. It is known for its usability and adaptability.
Keras provides a range of tools and techniques for dealing with common data science problems, such as overfitting, underfitting, and regularization.
3.) PyTorch : PyTorch is one more famous open-source AI library utilized in information science. PyTorch also offers easy-to-use interfaces for various tasks such as data loading, model building, training, and deployment, making it accessible to beginners as well as experts in the field of machine learning.
4.) TensorFlow : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning.
5.) Spark : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively.
6.) Hadoop : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly.
7.) Tableau : Tableau is a strong data representation tool that permits data researchers to make intuitive dashboards and perceptions. Tableau allows users to combine multiple charts.
8.) SQL : SQL (Structured Query Language) SQL permits data researchers to perform complex queries , join tables, and aggregate data, making it simple to extricate bits of knowledge from enormous datasets. It is a powerful tool for data management, especially for large datasets.
9.) Power BI : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem.
10.) Excel : Excel is a spreadsheet program that broadly utilized in data science. It is an amazing asset for information the board, examination, and visualization .Excel can be used to explore the data by creating pivot tables, histograms, scatterplots, and other types of visualizations.
Here we will examine the top best Data Science tools that are utilized generally by data researchers and analysts. But prior to beginning let us discuss about what is Data Science.
π°What is Data Science ?
Data science is a quickly developing field that includes the utilization of logical strategies, calculations, and frameworks to extract experiences and information from organized and unstructured data .
π½Top Data Science Tools that are normally utilized :
1.) Jupyter Notebook : Jupyter Notebook is an open-source web application that permits clients to make and share archives that contain live code, conditions, representations, and narrative text .
2.) Keras : Keras is a famous open-source brain network library utilized in data science. It is known for its usability and adaptability.
Keras provides a range of tools and techniques for dealing with common data science problems, such as overfitting, underfitting, and regularization.
3.) PyTorch : PyTorch is one more famous open-source AI library utilized in information science. PyTorch also offers easy-to-use interfaces for various tasks such as data loading, model building, training, and deployment, making it accessible to beginners as well as experts in the field of machine learning.
4.) TensorFlow : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning.
5.) Spark : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively.
6.) Hadoop : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly.
7.) Tableau : Tableau is a strong data representation tool that permits data researchers to make intuitive dashboards and perceptions. Tableau allows users to combine multiple charts.
8.) SQL : SQL (Structured Query Language) SQL permits data researchers to perform complex queries , join tables, and aggregate data, making it simple to extricate bits of knowledge from enormous datasets. It is a powerful tool for data management, especially for large datasets.
9.) Power BI : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem.
10.) Excel : Excel is a spreadsheet program that broadly utilized in data science. It is an amazing asset for information the board, examination, and visualization .Excel can be used to explore the data by creating pivot tables, histograms, scatterplots, and other types of visualizations.
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Day21 ASP.NET MVC5 ViewBag.pdf
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asp. Net MVC tutorial PDF Notes Part 21
π Mastering ViewBag in MVC: Your Key to Dynamic Web Apps
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ASP.NET MVC Tutorial Part-21: π Understanding ViewBag and Its Role in Web Development | coderbaba
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Look no further! Our ASP. NET C# tutorial course is designed to empower you with the skills and knowledge you need to succeed in the dynamic field of web development.
π What Our Course Offers:
Step-by-step guidance for beginners and advanced learners.
In-depth coverage of ASP.NET C# fundamentals.
Real-world projects to apply your knowledge.
Practical coding exercises.
Expert tips and best practices.
A supportive community of fellow learners.
Access to downloadable resources, including PDF notes.
Why Choose Us?
β Proven track record of success.
β Experienced instructors passionate about teaching.
β Up-to-date content reflecting the latest industry trends.
β Flexibility to learn at your own pace.
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Token, Identifier, keywords, constant and Literal in java Programming
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https://youtu.be/mLFRI12RMC0?si=uZhTUxJJXJQpGznE
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WHAT IS TOKEN, IDENTIFIER, KEYWORDS, CONSTANT and LITERAL in JAVA PART 3
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Token
Identifier
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Token
Identifier
Keywords
constant
Literal
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in details....
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Java Data Type
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type of #DataType #JAVA
Primitive data type
non primitive
int
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type of #DataType #JAVA
Primitive data type
non primitive
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byte
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Java Tutorial Video Links
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Java Tutorial Videos link
------------------
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Token,Identifier, keywords, constant and Literal in java Programming part-3
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Member and Local variable in java part-4
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Principles of OOP in Java part=5
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Fundamental characteristic of OOPs in Java part-6
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Introduction of Java | Definition of Java | History of Java part-7
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How java programming language created part-8
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Edition of Java programming part-9
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why java is platform Independent?
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Java Eclips IDE installation
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Java Architecture | how to execute java code
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Analysis of Interpreter
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java architecture
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java development kit (JDK)
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Java Standard Library in Java
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Java Exercise questions
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Hello world programm in Java
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Keywords in Java
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Identifiers in java
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Constants in java
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ββββββββββββ-
Java Tutorial Videos link
------------------
Java variable part-1
https://youtu.be/ndDR0iAsrvA?si=T0BdzPnyqRg7asFw
Java Data Type part-2
https://youtu.be/FwTRYI0f3Mc?si=ME81T4tOkW9dkinJ
Token,Identifier, keywords, constant and Literal in java Programming part-3
https://youtu.be/mLFRI12RMC0?si=uZhTUxJJXJQpGznE
Member and Local variable in java part-4
https://youtu.be/LeZrhL6hpDo?si=VQL9NR90T5Rd6I0k
Principles of OOP in Java part=5
https://youtu.be/LeZrhL6hpDo?si=VQL9NR90T5Rd6I0k
Fundamental characteristic of OOPs in Java part-6
https://youtu.be/zsogM0R_HH8?si=4GeR0P1Y543v_hIO
Introduction of Java | Definition of Java | History of Java part-7
https://youtu.be/uu1FH_NSz54?si=RwKbrXL_8Pm_cYsW
How java programming language created part-8
https://youtu.be/C-dE5efh044?si=NSGuH7t6lbn5hOBu
Edition of Java programming part-9
https://youtu.be/Q1JYvPyEdbQ?si=KjHThTPl2JzO2bLT
Characteristics of Java part-10
https://youtu.be/-WS8lg2oz5M?si=WATdzluOPhycThzW
what is Entry Controlled Loop and Exit Controlled Loop in Java part-11
https://youtu.be/DD2MAGBFN-M?si=0XBljXOpKStfymkK
Java Installation part-12
https://youtu.be/U2zJ3_Spq0s?si=HLS3nhYKw4Nr1lol
what is Method in java part-13
https://youtu.be/PF3RIcsuNEg?si=LDvts0GrjJwW3IW8
Source code, source file, compilation in java part-14
https://youtu.be/qhzKRxby9_I?si=h5VvERnII7FzDXhS
why java is platform Independent?
https://youtu.be/Hb8-2uoJ9sI?si=xOSS9UIJO8idqImR
Java Eclips IDE installation
https://youtu.be/3Qjf8pznQIU?si=Yx6Rk9U2jy8Kr0XM
Java Architecture | how to execute java code
https://youtu.be/XJ2yU4IcUy0?si=FCz5x1IePstOSdPq
Analysis of Interpreter
https://youtu.be/-VvmMmuZtqI?si=TFmNdWX47jRAWxVJ
java architecture
https://youtu.be/p-3OwLNKm3A?si=xePYR39A18e26SAn
java development kit (JDK)
https://youtu.be/WyJ7fceuJIY?si=KtUOHSA1AbuAwwKF
Java Standard Library in Java
https://youtu.be/joex1oDMcR0?si=oOOWFDLZ2YUlpKbD
Java Exercise questions
https://youtu.be/2bMJ1TjmTOQ?si=clD0xqxEEDM3bImv
Hello world programm in Java
https://youtu.be/Mig8Tq5Nrjg?si=cv0lM7xm6jFkP7m2
type of comments in java
https://youtu.be/P8nztKcV_wg?si=RYRh48s2WOYDlIzn
java character set
https://youtu.be/t8mWSgM9vaI?si=66VF0IVBqMKkSVXE
Keywords in Java
https://youtu.be/iUKZxe4wXx0?si=b6L375wxFopH1Isg
Identifiers in java
https://youtu.be/fpeZtmNvwYs?si=90bqJzkluutRZPLa
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What is the correct syntax for java main method?
Anonymous Quiz
9%
public void main(String[] args)
35%
public Static void main(string[] args)
6%
public Static void main()
49%
public static void main(String[] args)
Java Programming PROBLEM:
DIFFERENT DATATYPES
Write a program to ask the user to enter an int, float, char, string, long and boolean data type values and to print its value.
Input and Output Format:
Refer Sample Input and Output for formatting specifications.
Sample Input and Output:
[All text in bold corresponds to input and the rest corresponds to output]
Hint:
Use String format() method or Math.round() method - for all floating point values displayed correct to 2 decimal place.
Enter integer
56
Enter float
56.65
Enter character
A
Enter string
Java
Enter long
12345678910
Enter boolean
true
56 is an integer value
56.65 is a float value
A is a character value
Java is a string value
12345678910 is a long value
true is a boolean value
DIFFERENT DATATYPES
Write a program to ask the user to enter an int, float, char, string, long and boolean data type values and to print its value.
Input and Output Format:
Refer Sample Input and Output for formatting specifications.
Sample Input and Output:
[All text in bold corresponds to input and the rest corresponds to output]
Hint:
Use String format() method or Math.round() method - for all floating point values displayed correct to 2 decimal place.
Enter integer
56
Enter float
56.65
Enter character
A
Enter string
Java
Enter long
12345678910
Enter boolean
true
56 is an integer value
56.65 is a float value
A is a character value
Java is a string value
12345678910 is a long value
true is a boolean value