Sayan Adhikary

@fearldx @grok name of this game?

@Taufiq_Trails We do to create clarity from chaos, to automate the tedious, to bring ideas to life, and to leave the world better than we found it— one function, one system, one breakthrough at a time.

Day 20 ✅ Began Practical ML with Scikit-learn using @codewithharry 🤖 Solved real-world ML problems, explored datasets, trained algorithms on Iris data, checked accuracy & house prices 🏠📊 Hands-on ML feels exciting! 💻✨ #Day20 #DataScience #MachineLearning #LearningJourney

Day 19 ✅ Explored Types of Machine Learning Algorithms with @codewithharry 🤖 Covered the history of ML, Supervised, Unsupervised & Reinforcement Learning, and when to use each 🚀 Getting a clear roadmap of ML approaches 💻✨ #Day19 #DataScience #MachineLearning #LearningJourney

Day 18 ✅ Entered the Machine Learning world with @codewithharry 🤖 Completed: Intro, How Machines Learn, Installing Scikit-learn, our first ML model & exploring more models 🚀 Excited to dive deeper into algorithms next! 💻✨ #Day18 #DataScience #MachineLearning #LearningJourney

Day 17 ✅Wrapped up Probability Distributions & the Central Limit Theorem with @codewithharry 🎲 Learned about Uniform, Binomial & Normal distributions and how the CLT shapes data insights 📊 Stats skills are growing stronger! 💻✨ #Day17 #DataScience #Statistics #LearningJourney

#Day11 ✅ Progress continues with @codewithharry 🚀 Covered External Libraries — virtual env, APIs with Requests, Regex & Multithreading 🐍💻 Python getting more powerful every day! 🔥 #Python #DataScience #100DaysOfCode

Day 16 ✅ Stepped into the Probability module with @codewithharry 🎲 From intro & experiments to rules, practice sets, conditional probability & Bayes’ Theorem 📊 Math is the backbone of Data Science, and it’s getting clearer 💻✨ #Day16 #DataScience #Probability #LearningJourney

Day 15 ✅ Completed the entire SQL series with @codewithharry 💾 Covered: Date/Time, Constraints, FKs, Joins, UNION, Functions, Views, Indexes, Subqueries, GROUP BY & Stored Procedures 🗄️ SQL ✅ Done! Feeling strong in DB skills 🚀 #Day15 #DataScience #SQL #LearningJourney

Day 14 ✅ Continued SQL with @codewithharry 💾 Learned how to Insert, Select, Update & Delete data from tables, and also explored Transactions in MySQL 🗄️ Feeling more confident working with databases now 🙌 #Day14 #DataScience #SQL #LearningJourney

Day 13 ✅ Jumped into SQL for Data Science with @codewithharry 💾 Covered: Intro to Databases, Installing MySQL, Creating & Modifying Databases & Tables 🗄️ Excited to strengthen the backbone of DS with SQL! 🚀 #Day13 #DataScience #SQL #LearningJourney

#Day10 ✅ Moving forward with @codewithharry 🚀 Learned File I/O — reading & writing files, OS & Shutil modules, and creating CLI utilities 🐍💻 Excited to use this in real projects! 🔥✨ #Python #DataScience #100DaysOfCode

Day 12 ✅ Studied Data Collection with @codewithharry 🌐 Web Scraping, HTML basics, Requests & BeautifulSoup 🍲 Now I can collect my own raw data! 💻📊 #Day12 #DataScience #WebScraping

Happy Teachers' Day! 🙏 @codewithharry @ApnacollegeX @GeminiApp @ChatGPTapp @striver_79 @github @YouTube @OpenAI @Google @StackOverflow @LeetCode @geeksforgeeks —and many more... Thank you all for teaching me so much! ❤️

#Day9 ✅ Another step ahead with @codewithharry 🚀 Wrapped up Advanced Python Concepts — Magic Methods, Exception Handling, Map/Filter/Reduce, Walrus & Args/kwargs 🐍💻 Leveling up my coding skills! 🔥 #Python #DataScience #100DaysOfCode

Day 11 ✅ Ending Data Visualization with @codewithharry Learned Matplotlib pie, stack, histogram & scatter plots 📈 basics of Seaborn 🎨 Data becomes more meaningful when it’s visualized💻 #Day11 #DataScience #Matplotlib #Seaborn #LearningJourney

Day 10 ✅ Started Data Visualization with @codewithharry 📊 Learned Matplotlib basics – plotting charts, bar📈 Data becomes more meaningful when it’s visualized 🎨 #Day10 #DataScience #Matplotlib #LearningJourney

While learning Data Visualization with @codewithharry 📊, I found this interesting: Plotting 50 random lines = chaos 🤯 Plotting 1 line = clarity ✅ Too much data can confuse, but the right amount tells the story! #Day10 #DataScience #Matplotlib #LearningJourney

Wrapped up the remaining Pandas lectures with @codewithharry ✅ Covered Melt & Pivot, Aggregation & Grouping, Merging & Joining Data, and Working with CSVs 📊 Pandas ✅ Completed! Feeling confident with data handling 💻✨ #Day9 #DataScience #Pandas #LearningJourney

Day 9 ✅ Continued Pandas with @codewithharry 📊 Completed Data Cleaning & Preprocessing (23 min) and Data Transformation(13min) 🔄 Data is messy, but now I know how to clean & shape it before analysis 💻✨ #Day9 #DataScience #Pandas #LearningJourney