kaurcoder_07's profile picture. Python Developer | Aspiring Data Scientist |  🎥 Creator @CodewithKaur003 #TechEnthusiast

codewithkaur👾

@kaurcoder_07

Python Developer | Aspiring Data Scientist | 🎥 Creator @CodewithKaur003 #TechEnthusiast

🚀 Just finished a mini Data Science project on my YouTube channel 📊 🔹 Cleaned messy data (goodbye 1970-01-01 publish date 😅) 🔹 Found that shorter videos <100s → more engagement 🔹 Views spiked around July 2025 🔹 Outliers = my surprise hit videos (300+ views ) #DataScience

kaurcoder_07's tweet image. 🚀 Just finished a mini Data Science project on my YouTube channel 📊
🔹 Cleaned messy data (goodbye 1970-01-01 publish date 😅)
🔹 Found that shorter videos &amp;lt;100s → more engagement
🔹 Views spiked around July 2025
🔹 Outliers = my surprise hit videos (300+ views )
#DataScience
kaurcoder_07's tweet image. 🚀 Just finished a mini Data Science project on my YouTube channel 📊
🔹 Cleaned messy data (goodbye 1970-01-01 publish date 😅)
🔹 Found that shorter videos &amp;lt;100s → more engagement
🔹 Views spiked around July 2025
🔹 Outliers = my surprise hit videos (300+ views )
#DataScience
kaurcoder_07's tweet image. 🚀 Just finished a mini Data Science project on my YouTube channel 📊
🔹 Cleaned messy data (goodbye 1970-01-01 publish date 😅)
🔹 Found that shorter videos &amp;lt;100s → more engagement
🔹 Views spiked around July 2025
🔹 Outliers = my surprise hit videos (300+ views )
#DataScience
kaurcoder_07's tweet image. 🚀 Just finished a mini Data Science project on my YouTube channel 📊
🔹 Cleaned messy data (goodbye 1970-01-01 publish date 😅)
🔹 Found that shorter videos &amp;lt;100s → more engagement
🔹 Views spiked around July 2025
🔹 Outliers = my surprise hit videos (300+ views )
#DataScience

Visualizing data feels like online shopping… Matplotlib = assemble furniture yourself 🛠️ Seaborn = it comes pre-assembled ✨📊


Just wrapped up the Matplotlib & Seaborn section of my #DataScience journey 📊 ✅ Charts, histograms, scatter plots, subplots ✅ Seaborn basics & how it makes visualization effortless compared to Matplotlib Loving the process—data feels alive when visualized! #DataVisualization

kaurcoder_07's tweet image. Just wrapped up the Matplotlib &amp;amp; Seaborn section of my #DataScience journey 📊

✅ Charts, histograms, scatter plots, subplots
✅ Seaborn basics &amp;amp; how it makes visualization effortless compared to Matplotlib
Loving the process—data feels alive when visualized! 
#DataVisualization
kaurcoder_07's tweet image. Just wrapped up the Matplotlib &amp;amp; Seaborn section of my #DataScience journey 📊

✅ Charts, histograms, scatter plots, subplots
✅ Seaborn basics &amp;amp; how it makes visualization effortless compared to Matplotlib
Loving the process—data feels alive when visualized! 
#DataVisualization
kaurcoder_07's tweet image. Just wrapped up the Matplotlib &amp;amp; Seaborn section of my #DataScience journey 📊

✅ Charts, histograms, scatter plots, subplots
✅ Seaborn basics &amp;amp; how it makes visualization effortless compared to Matplotlib
Loving the process—data feels alive when visualized! 
#DataVisualization
kaurcoder_07's tweet image. Just wrapped up the Matplotlib &amp;amp; Seaborn section of my #DataScience journey 📊

✅ Charts, histograms, scatter plots, subplots
✅ Seaborn basics &amp;amp; how it makes visualization effortless compared to Matplotlib
Loving the process—data feels alive when visualized! 
#DataVisualization

Last 2 weeks = 📚 Data science grind! ✅ NumPy → arrays, slicing, broadcasting, math functions ✅ Pandas → data cleaning (80% of the job!), filtering, pivot/melt, grouping Now → diving into Matplotlib 📊 Time to make data look pretty. #DataScience #Python #NumPy #Pandas

kaurcoder_07's tweet image. Last 2 weeks = 📚 Data science grind!

✅ NumPy → arrays, slicing, broadcasting, math functions
✅ Pandas → data cleaning (80% of the job!), filtering, pivot/melt, grouping
Now → diving into Matplotlib 📊 Time to make data look pretty.

#DataScience #Python #NumPy #Pandas
kaurcoder_07's tweet image. Last 2 weeks = 📚 Data science grind!

✅ NumPy → arrays, slicing, broadcasting, math functions
✅ Pandas → data cleaning (80% of the job!), filtering, pivot/melt, grouping
Now → diving into Matplotlib 📊 Time to make data look pretty.

#DataScience #Python #NumPy #Pandas
kaurcoder_07's tweet image. Last 2 weeks = 📚 Data science grind!

✅ NumPy → arrays, slicing, broadcasting, math functions
✅ Pandas → data cleaning (80% of the job!), filtering, pivot/melt, grouping
Now → diving into Matplotlib 📊 Time to make data look pretty.

#DataScience #Python #NumPy #Pandas
kaurcoder_07's tweet image. Last 2 weeks = 📚 Data science grind!

✅ NumPy → arrays, slicing, broadcasting, math functions
✅ Pandas → data cleaning (80% of the job!), filtering, pivot/melt, grouping
Now → diving into Matplotlib 📊 Time to make data look pretty.

#DataScience #Python #NumPy #Pandas

Just finished “Coders of Delhi” practice in my data science course! 🎯 Learned to: ✅ Extract insights from data ✅ Handle duplicates & missing values ✅ Build “Pages You Might Like” & “People You May Know” logic All with pure Python 🐍 #DataScience #Python #Learning #ML

kaurcoder_07's tweet image. Just finished “Coders of Delhi” practice in my data science course! 🎯
Learned to:
✅ Extract insights from data
✅ Handle duplicates &amp;amp; missing values
✅ Build “Pages You Might Like” &amp;amp; “People You May Know” logic
All with pure Python 🐍
#DataScience #Python #Learning #ML
kaurcoder_07's tweet image. Just finished “Coders of Delhi” practice in my data science course! 🎯
Learned to:
✅ Extract insights from data
✅ Handle duplicates &amp;amp; missing values
✅ Build “Pages You Might Like” &amp;amp; “People You May Know” logic
All with pure Python 🐍
#DataScience #Python #Learning #ML
kaurcoder_07's tweet image. Just finished “Coders of Delhi” practice in my data science course! 🎯
Learned to:
✅ Extract insights from data
✅ Handle duplicates &amp;amp; missing values
✅ Build “Pages You Might Like” &amp;amp; “People You May Know” logic
All with pure Python 🐍
#DataScience #Python #Learning #ML
kaurcoder_07's tweet image. Just finished “Coders of Delhi” practice in my data science course! 🎯
Learned to:
✅ Extract insights from data
✅ Handle duplicates &amp;amp; missing values
✅ Build “Pages You Might Like” &amp;amp; “People You May Know” logic
All with pure Python 🐍
#DataScience #Python #Learning #ML

Facing some hurdles with my Tic Tac Toe game in C++, but I'm pushing through and making progress! 🚀 Every challenge is a new learning opportunity. #CodingJourney #CPP #GameDev #kaurCoder


Diving deep into operator overloading in OOP! Mastering everything from unary to binary and relational operators. 🚀 #CodingJourney #OOP #ProgrammingTips


Just conquered stacks in both array and linked list forms! 🎉 Mastered pushing, popping, peeking, and more. Ready to stack up more knowledge! 📚💻 #CodingSkills #DataStructures #DeveloperJourney


Just mastered linked lists and all their operations! From singly to doubly linked, each type offers unique advantages for data management and manipulation.🚀 #CodingJourney #DataStructures #LinkedListsUnlock


🧬 Dive into OOP Inheritance: - Single: Simple & direct. - Multiple: Rich but tricky, beware overlaps! - Multilevel & Hierarchical: Organize like family trees. 🛠️ Use interfaces to dodge ambiguity! #CodingTips #OOP


"Did you know? A friend function in C++ allows access to private data of a class from outside, enabling operations between different classes. It fosters flexibility without compromising encapsulation. #C++#ProgrammingTips #FriendFunction"


Dive into the world of #InlineFunctions in #programming! They boost performance by reducing function call overhead, making them ideal for small, frequently called functions. But, use them wisely; they're just a suggestion to the compiler and can lead to code bloat. #DevTips 💻✨


"Today, I dived into the world of constructors and destructors, uncovering their types and roles in object lifecycle management. Each type, from default to parameterized, plays a key role in initializing and cleaning up. What a day for learning! #CodeNewbie #OOPJourney"


Just delved into the core of OOP: Encapsulation (wrapping data & functions), Inheritance (reusing code across classes), Polymorphism (many forms, one interface), and Abstraction (hiding complexity). It's like giving superpowers to your code! #CodeMagic #OOPFundamentals ✨🔍🔄


"Finally conquered the challenges of understanding arrays with pointers in C++! It was a tough journey, but mastering it feels incredibly rewarding. Onwards and upwards! #CodingJourney #CPlusPlus #LearntoCode"


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