AI ML With Muqrrab Hussain, PO CHWOK AZAM CHAK NO 362TDA TEH AND DIST LAYYAH PAKISTAN (2026)

04/03/2026

𝐃𝐚𝐲 𝟏𝟑 | 𝐀𝐈/𝐌𝐋 𝐉𝐮𝐫𝐧𝐞𝐲 — Working with String Operations & Combinatorics

Continuing my journey toward becoming an AI/ML Engineer, today was focused on understanding how operators work with strings in Python and strengthening foundational concepts in permutation and combination.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

Studied operators applied to strings, including:

Arithmetic Operators → Concatenation and repetition of strings

Relational Operators → Comparing strings lexicographically

Membership Operators → Checking if a substring exists (in, not in)

Boolean Operators → Logical evaluation in expressions

Practiced using loops with strings to iterate through characters

🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

Concept of Factorial

Permutation and Combination Concepts

Understanding how strings behave in programming and learning counting techniques in mathematics strengthens the analytical thinking and programming foundations required for machine learning.

Focused on consistency, practice, and learning step by step.

03/03/2026

𝐃𝐚𝐲 𝟏𝟐 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Back to Learning & Exploring Strings

After a short break working on a coding project, I resumed my journey toward becoming an AI/ML Engineer.
Today was focused on understanding string handling in Python and continuing my progress in combinatorics.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

Creating and working with strings

Indexing of strings → Positive and negative indexing

String slicing → Accessing parts of text efficiently

🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

Combinations → Understanding selection of items where order does not matter

Learning how to manipulate text in Python and studying combinatorial reasoning strengthens the analytical thinking and programming foundation required for machine learning.

21/01/2026

𝐃𝐚𝐲 𝟏𝟏 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Practicing Patterns & Strengthening Counting Principles

Continuing my journey toward becoming an 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, today was focused on 𝐝𝐞𝐞𝐩 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐰𝐢𝐭𝐡 𝐟𝐨𝐫 𝐥𝐨𝐨𝐩𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 and strengthening a key 𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐢𝐧 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

Solved multiple 𝙛𝙤𝙧 𝙡𝙤𝙤𝙥 𝙥𝙧𝙤𝙗𝙡𝙚𝙢𝙨
Built various 𝙥𝙖𝙩𝙩𝙚𝙧𝙣𝙨 𝙪𝙨𝙞𝙣𝙜 𝙛𝙤𝙧 𝙡𝙤𝙤𝙥𝙨, including:
Number patterns
Star 【*】 patterns
Progressed from 𝐛𝐚𝐬𝐢𝐜 𝐭𝐨 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐩𝐚𝐭𝐭𝐞𝐫𝐧 𝐥𝐨𝐠𝐢𝐜
Improved control over nested loops and iteration flow

🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 → Understanding how choices add up in counting problems
Practicing loop-based pattern problems and learning counting principles helps build 𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠, 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐚𝐧𝐝 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐬𝐤𝐢𝐥𝐥𝐬, which are essential for machine learning.

20/01/2026

𝐃𝐚𝐲 𝟏𝟎 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Strengthening Iteration & Combinatorial Thinking

Continuing my journey toward becoming an AI/ML Engineer, today was focused on mastering iteration in Python and starting a new chapter in mathematics that builds logical and analytical thinking.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
Studied the 𝐟𝐨𝐫 𝐥𝐨𝐨𝐩 in detail
Practiced multiple 𝐟𝐨𝐫 𝐥𝐨𝐨𝐩 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬
Improved understanding of iteration, ranges, and loop-based logic

🔹𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
Started a new chapter: 𝐏𝐞𝐫𝐦𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐨𝐦𝐛𝐢𝐧𝐚𝐭𝐢𝐨𝐧
𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐌𝐮𝐥𝐭𝐢𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞→ Understanding how choices combine

Learning iteration in programming along with combinatorial reasoning in mathematics helps develop the 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 required for machine learning.

19/01/2026

𝐃𝐚𝐲 𝟎𝟗 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Applying Loops & Exploring Trigonometry
Continuing my journey toward becoming an AI/ML Engineer, today was focused on applying loop logic through a mini game and strengthening trigonometry fundamentals.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
Built a 𝙉𝙪𝙢𝙗𝙚𝙧 𝙂𝙪𝙚𝙨𝙨𝙞𝙣𝙜 𝙂𝙖𝙢𝙚 using a 𝘄𝗵𝗶𝗹𝗲 𝗹𝗼𝗼𝗽
Practiced loop conditions and user interaction
Studied an overview of the 𝐟𝐨𝐫 𝐥𝐨𝐨𝐩 in Python and its use cases

🔹𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝙌𝙪𝙖𝙙𝙧𝙖𝙣𝙩 𝙎𝙘𝙝𝙚𝙢𝙚 𝙤𝙛 𝙏𝙧𝙞𝙜𝙤𝙣𝙤𝙢𝙚𝙩𝙧𝙞𝙘 𝙁𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙨
𝘿𝙤𝙢𝙖𝙞𝙣 𝙖𝙣𝙙 𝙍𝙖𝙣𝙜𝙚 of all six trigonometric functions
(sin, cos, tan, cot, sec, cosec)

Building small projects in Python along with understanding mathematical concepts helps develop the 𝗽𝗿𝗼𝗯𝗹𝗲𝗺-𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 required for machine learning.
Focused on 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒆, 𝒄𝒐𝒏𝒔𝒊𝒔𝒕𝒆𝒏𝒄𝒚, 𝒂𝒏𝒅 𝒍𝒆𝒂𝒓𝒏𝒊𝒏𝒈 step by step.

13/01/2026

𝐃𝐚𝐲 𝟎𝟖 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Learning Loops & Trigonometry Basics
Continuing my journey toward becoming an AI/ML Engineer, today was focused on understanding repetition and control flow in Python and starting the fundamentals of trigonometry.
🔹𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
• 𝗪𝗵𝗶𝗹𝗲 𝗟𝗼𝗼𝗽 → Executing code repeatedly based on a condition
• Solved multiple practice problems using while loops
• Improved understanding of loop conditions and flow control
🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
Trigonometry Basics
• 𝐀𝐧𝐠𝐥𝐞 →Understanding angular measurement
• 𝐀𝐫𝐜 𝐋𝐞𝐧𝐠𝐭𝐡 → Relation between angle and circular distance
• 𝐃𝐞𝐠𝐫𝐞𝐞𝐬 𝐚𝐧𝐝 𝐑𝐚𝐝𝐢𝐚𝐧𝐬 → Different ways to measure angles
Learning loops in Python and building mathematical foundations like trigonometry helps develop the 𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 required for machine learning.
Focused on consistency, practice, and learning step by step.

12/01/2026

𝐃𝐚𝐲 𝟎𝟕 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — From Logic to a Mini Project
Continuing my journey toward becoming an AI/ML Engineer, today was about applying Python logic to a real use case and strengthening mathematical foundations.
🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭:
• Built a basic ATM project using if–else statements
• Implemented features like:
• Balance checking
• Withdrawal and deposit logic
• Condition-based user flow
• Focused on applying decision-making logic in a practical way

🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐂𝐨𝐦𝐩𝐨𝐬𝐢𝐭𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 → Understanding function combinations
𝐅𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐚𝐫𝐭 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 → Analyzing fractional behavior of real numbers
Working on small projects while learning mathematics helps bridge the gap between theory and real-world problem solving, which is essential for machine learning.

🔗 𝑮𝒊𝒕𝑯𝒖𝒃 𝑹𝒆𝒑𝒐𝒔𝒊𝒕𝒐𝒓𝒚:
https://github.com/muqrrab12/My-Python-Projects.git

Focused on consistency, practice, and learning step by step.

06/01/2026

𝐃𝐚𝐲 𝟎𝟔 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Practicing Logic & Exploring Mathematical Functions
Continuing my journey toward becoming an AI/ML Engineer, today was focused on strengthening conditional logic in Python through practice and deepening my understanding of important mathematical functions.
🔹𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐝:
𝗦𝗼𝗹𝘃𝗲𝗱 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗶𝗳–𝗲𝗹𝘀𝗲 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀
Improved 𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 and condition handling
Focused on writing clear and correct decision-based code
🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐏𝐨𝐥𝐲𝐧𝐨𝐦𝐢𝐚𝐥 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 → Understanding structure and behavior
𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐄𝐪𝐮𝐚𝐭𝐢𝐨𝐧𝐬 →Working with functions defined through equations
𝐄𝐯𝐞𝐧 𝐚𝐧𝐝 𝐎𝐝𝐝 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 → Analyzing symmetry and properties

Practicing programming logic along with mathematical concepts helps build the 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 required for machine learning and problem solving.

05/01/2026

𝐃𝐚𝐲 𝟎𝟓 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲— Learning Decision Making & Mathematical Functions
Continuing my journey toward becoming an 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, today was focused on 𝒃𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒍𝒐𝒈𝒊𝒄𝒂𝒍 𝒕𝒉𝒊𝒏𝒌𝒊𝒏𝒈 in Python and understanding 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬.
🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐈𝐟–𝐄𝐥𝐬𝐞 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬 →Making decisions based on conditions
𝙋𝙧𝙤𝙜𝙧𝙖𝙢 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙩𝙝𝙚 𝙢𝙞𝙣𝙞𝙢𝙪𝙢 𝙤𝙛 𝙩𝙬𝙤 𝙣𝙪𝙢𝙗𝙚𝙧𝙨
𝐒𝐢𝐦𝐩𝐥𝐞 𝐥𝐨𝐠𝐢𝐧 𝐥𝐨𝐠𝐢𝐜 →Validating email and password
𝐍𝐞𝐬𝐭𝐞𝐝 𝐈𝐟–𝐄𝐥𝐬𝐞 → Handling multiple conditions step by step
🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐒𝐢𝐠𝐧𝐮𝐦 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 → Understanding value behaviour for positive, negative, and zero inputs
𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 →Output equals input
𝐂𝐨𝐧𝐬𝐭𝐚𝐧𝐭 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 → Output remains constant for all inputs
Learning decision-making logic in Python along with mathematical functions helps build the problem-solving mindset required for machine learning.

02/01/2026

𝐃𝐚𝐲 𝟎𝟒 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — Strengthening Logic & Mathematical Foundations

Continuing my journey toward becoming an AI/ML Engineer, today was focused on understanding how operations and logic work in Python and learning a key mathematical function used frequently in programming.

🔹 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

𝐀𝐫𝐢𝐭𝐡𝐦𝐞𝐭𝐢𝐜 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 →Perform basic mathematical operations
𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 → Compare values and return conditions
𝐀𝐬𝐬𝐢𝐠𝐧𝐦𝐞𝐧𝐭 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 →Assign and update variable values
𝐋𝐨𝐠𝐢𝐜𝐚𝐥 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 →Work with logical conditions
𝐌𝐞𝐦𝐛𝐞𝐫𝐬𝐡𝐢𝐩 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 → Check membership in sequences
𝐁𝐢𝐭𝐰𝐢𝐬𝐞 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 →Perform operations at the bit level

🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐌𝐨𝐝𝐮𝐥𝐮𝐬 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 → Understanding remainder-based behavior

Understanding operators and mathematical functions builds the 𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 required for writing efficient programs and solving machine learning problems.
Focused on 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲, 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 and 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐭𝐞𝐩 𝐛𝐲 𝐬𝐭𝐞𝐩.

01/01/2026

𝐃𝐚𝐲 𝟎𝟑 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 —> 𝑼𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅𝒊𝒏𝒈 𝑫𝒂𝒕𝒂 & 𝑴𝒂𝒕𝒉𝒆𝒎𝒂𝒕𝒊𝒄𝒂𝒍 𝑭𝒐𝒖𝒏𝒅𝒂𝒕𝒊𝒐𝒏𝒔
𝘾𝙤𝙣𝙩𝙞𝙣𝙪𝙞𝙣𝙜 𝙢𝙮 𝙟𝙤𝙪𝙧𝙣𝙚𝙮 toward becoming an 𝑨𝑰/𝑴𝑳 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓, today was focused on understanding how 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗱 in Python and 𝙨𝙩𝙧𝙚𝙣𝙜𝙩𝙝𝙚𝙣𝙞𝙣𝙜 mathematical intuition.
🔹𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐃𝐚𝐭𝐚 𝐓𝐲𝐩𝐞𝐬 (𝐁𝐚𝐬𝐢𝐜𝐬) → Int, float, string, Boolean, and more
Understanding how 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐝𝐚𝐭𝐚 𝐭𝐲𝐩𝐞𝐬 𝐬𝐭𝐨𝐫𝐞 and represent values
Choosing the right data type for different use cases
🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐆𝐫𝐞𝐚𝐭𝐞𝐬𝐭 𝐈𝐧𝐭𝐞𝐠𝐞𝐫 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 (⌊𝐱⌋) → Understanding its definition and behavior

Mastering 𝐝𝐚𝐭𝐚 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 and 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀is an important step toward 𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐜𝐨𝐝𝐞 and progressing in 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆, 𝗰𝗹𝗮𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽.

30/12/2025

𝐃𝐚𝐲 𝟎𝟐 | 𝐀𝐈/𝐌𝐋 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 — 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐒𝐭𝐫𝐨𝐧𝐠 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬
Continuing my journey toward becoming an 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, today was all about 𝙨𝙩𝙧𝙚𝙣𝙜𝙩𝙝𝙚𝙣𝙞𝙣𝙜 both 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 and 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀
that power machine learning.
🔹𝑷𝒚𝒕𝒉𝒐𝒏 𝑪𝒐𝒏𝒄𝒆𝒑𝒕𝒔 𝑪𝒐𝒗𝒆𝒓𝒆𝒅:
𝐭𝐲𝐩𝐞() 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧 → Identifies the data type of a value
𝐂𝐨𝐦𝐦𝐞𝐧𝐭𝐬 → Improve code readability and understanding
𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 & 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐫𝐬 → Reserved words and valid naming rules in Python
𝐔𝐬𝐞𝐫 𝐈𝐧𝐩𝐮𝐭 → Taking input dynamically from users
🔹 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
𝐄𝐱𝐩𝐨𝐧𝐞𝐧𝐭𝐢𝐚𝐥 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 → Understanding domain, range, and graphs
𝐋𝐨𝐠𝐚𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 → Exploring domain and range
Building a strong base in 𝙋𝙮𝙩𝙝𝙤𝙣 + 𝙈𝙖𝙩𝙝𝙚𝙢𝙖𝙩𝙞𝙘𝙨 is essential before m̲o̲v̲i̲n̲g̲ ̲d̲e̲e̲p̲e̲r̲ into AI & ML.
𝙁𝙤𝙘𝙪𝙨𝙚𝙙 𝙤𝙣 𝙘𝙤𝙣𝙨𝙞𝙨𝙩𝙚𝙣𝙘𝙮, 𝙘𝙡𝙖𝙧𝙞𝙩𝙮, 𝙖𝙣𝙙 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙨𝙩𝙚𝙥 𝙗𝙮 𝙨𝙩𝙚𝙥.

AI ML With Muqrrab Hussain