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Master Java programming in 15 days with Free Resources 😄👇

Days 1-3: Getting Started
1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment.
2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program.
3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects.

Days 4-6: Control Flow and Data Structures
4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements.
5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data.
6. Day 6: Explore more advanced data structures like HashMaps and Sets.

Days 7-9: Methods and Functions
7. Day 7: Understand methods and functions in Java, including method parameters and return values.
8. Day 8: Learn about method overloading and overriding, as well as access modifiers.
9. Day 9: Practice creating and using methods in your Java programs.

Days 10-12: Exception Handling and File I/O
10. Day 10: Study exception handling to deal with runtime errors.
11. Day 11: Explore file input/output to read and write data to files.
12. Day 12: Combine exception handling and file I/O in practical applications.

Days 13-15: Advanced Topics and Projects
13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package.
14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX.
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HOW TO AVOID YOUR ADULT PROBELMS??

* Wake up early.
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Struggling with Machine Learning algorithms? 🤖

Then you better stay with me! 🤓

We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! 👇🏻

1️⃣ 𝗟𝗢𝗚𝗜𝗦𝗧𝗜𝗖 𝗥𝗘𝗚𝗥𝗘𝗦𝗦𝗜𝗢𝗡
It is a binary classification model used to classify our input data into two main categories.

It can be extended to multiple classifications... but today we'll focus on a binary one.

Also known as Simple Logistic Regression.

2️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗜𝗧?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.

It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.

3️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗗𝗘𝗙𝗜𝗡𝗘 𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧?
For every parametric ML algorithm, we need a LOSS FUNCTION.

It is our map to find our optimal solution or global minimum.

(hoping there is one! 😉)

✚ 𝗕𝗢𝗡𝗨𝗦 - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.

Handling Imbalanced Data in ML: https://t.me/mlresourcestp/86

ENJOY LEARNING👍👍

More Resources on this WhatsApp Channel
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Create a Calendar in Python

Here are SQL interview questions:

Basic SQL Questions

1.⁠ ⁠What is SQL, and what is its purpose?
2.⁠ ⁠Write a SQL query to retrieve all records from a table.
3.⁠ ⁠How do you select specific columns from a table?
4.⁠ ⁠What is the difference between WHERE and HAVING clauses?
5.⁠ ⁠How do you sort data in ascending/descending order?

SQL Query Questions

1.⁠ ⁠Write a SQL query to retrieve the top 10 records from a table based on a specific column.
2.⁠ ⁠How do you join two tables based on a common column?
3.⁠ ⁠Write a SQL query to retrieve data from multiple tables using subqueries.
4.⁠ ⁠How do you use aggregate functions (SUM, AVG, MAX, MIN)?
5.⁠ ⁠Write a SQL query to retrieve data from a table for a specific date range.

SQL Optimization Questions

1.⁠ ⁠How do you optimize SQL query performance?
2.⁠ ⁠What is indexing, and how does it improve query performance?
3.⁠ ⁠How do you avoid full table scans?
4.⁠ ⁠What is query caching, and how does it work?
5.⁠ ⁠How do you optimize SQL queries for large datasets?

SQL Joins and Subqueries

1.⁠ ⁠Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
2.⁠ ⁠Write a SQL query to retrieve data from two tables using a subquery.
3.⁠ ⁠How do you use EXISTS and IN operators in SQL?
4.⁠ ⁠Write a SQL query to retrieve data from multiple tables using a self-join.
5.⁠ ⁠Explain the concept of correlated subqueries.

SQL Data Modeling

1.⁠ ⁠Explain the concept of normalization and denormalization.
2.⁠ ⁠How do you design a database schema for a given application?
3.⁠ ⁠What is data redundancy, and how do you avoid it?
4.⁠ ⁠Explain the concept of primary and foreign keys.
5.⁠ ⁠How do you handle data inconsistencies and anomalies?

SQL Advanced Questions

1.⁠ ⁠Explain the concept of window functions (ROW_NUMBER, RANK, etc.).
2.⁠ ⁠Write a SQL query to retrieve data using Common Table Expressions (CTEs).
3.⁠ ⁠How do you use dynamic SQL?
4.⁠ ⁠Explain the concept of stored procedures and functions.
5.⁠ ⁠Write a SQL query to retrieve data using pivot tables.

SQL Scenario-Based Questions

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3.⁠ ⁠You have a table with missing values. Write a SQL query to replace missing values with a default value.
4.⁠ ⁠You have a table with data in an incorrect format. Write a SQL query to correct the format.
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SQL Behavioral Questions

1.⁠ ⁠Can you explain a time when you optimized a slow-running SQL query?
2.⁠ ⁠How do you handle database errors and exceptions?
3.⁠ ⁠Can you describe a complex SQL query you wrote and why?
4.⁠ ⁠How do you stay up-to-date with new SQL features and best practices?
5.⁠ ⁠Can you walk me through your process for troubleshooting SQL issues?

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SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)

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SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)

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Also try to apply what you learn through hands-on projects or challenges.

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Google I/O '25 Keynote 🔥

Live Link: https://www.youtube.com/live/o8NiE3XMPrM?si=5ALsljVgLyZ9A0ID

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Eric Schmidt says the arrival of AGI and Superintelligence will be the most important event in 500, maybe even 1,000 years of human history.

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Choosing the right cryptocurrency exchange is crucial for a safe and efficient trading experience. Here are some factors to consider:

1. Security:
- Prioritize exchanges with a strong security track record, including features like two-factor authentication (2FA) and cold storage for the majority of funds.

2. Reputation:
- Research the exchange's reputation by reading user reviews, checking online forums, and assessing how long it has been in operation.

3. Supported Cryptocurrencies:
- Ensure the exchange supports the specific cryptocurrencies you want to trade or invest in. Not all exchanges list the same range of coins.

4. Fees:
- Compare trading fees, withdrawal fees, and any other charges. Some exchanges offer fee discounts based on trading volume or membership levels.

5. User Interface:
- Choose an exchange with an intuitive and user-friendly interface, especially if you are a beginner. A clean design can enhance your overall trading experience.

6. Liquidity:
- Higher liquidity generally means better price stability and faster execution of trades. Check the trading volume of the exchange and the specific cryptocurrency pairs you're interested in.

7. Geographic Restrictions:
- Be aware of any geographical restrictions imposed by the exchange. Ensure it operates in your country and complies with local regulations.

8. Regulatory Compliance:
- Verify that the exchange complies with relevant regulations in your jurisdiction. This adds an extra layer of security and legal protection.

9. Customer Support:
- Look for exchanges with responsive customer support. Issues may arise, and having a reliable support system is crucial for quick resolutions.

10. Deposit and Withdrawal Methods:
- Check the available deposit and withdrawal methods. Some exchanges support fiat currency deposits, while others may require you to trade using other cryptocurrencies.

11. Mobile App:
- If you prefer trading on the go, consider whether the exchange offers a mobile app with essential features for convenient trading.

12. Educational Resources:
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Best career advice l've heard today

Don't ever attach yourself to a person, a place, a company, an organization, or a project.

Attach yourself to a mission, a calling, a purpose only.

That's how you keep your power & your peace.

🔆 t.me/techpsyche

Windsurf launched SWE-1, its first family of AI models designed for complete software engineering workflows.

The three models were trained on incomplete states and multi-surface interactions, claiming competitive performance with Claude 3.5 Sonnet.

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