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Unleash your inner hacker! 🔥💻 Let’s turn challenges into opportunities and ideas into reality.
@ncetofficial #SmartIndiaHackathon #NCET
@ncetofficial @PMOIndia #hackthon
#Hackathon2025 #CodeForChange
🚀 Code is more than just a line,
💓 It’s the heartbeat of change in time.
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#CLabs #Innovation #FutureTech #CodeForChange #TechVision #Partnership
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🌹नेपालमा पहिलो पटक गण्डकी विश्वविद्यालय द्वारा प्रमाणित ArtificiaI Inteligence/Machine Learning Course को माइक्रो डिग्री पाईने ६ महिने ट्रेनिङ प्रोग्राम सुरु हुँदैछ । प्रोग्राम #CodeforChange Pokhara, राष्ट्रिय आविष्कार केन्द्र र #AICommunityNepal ले सहकार्य गरेर सुरु गर्दैछन। यो कार्यक्रममा सहभागी हुनेहरुले विश्वविद्यालय द्वारा माइक्रो डिग्री प्रमाणपत्र, इन्टर्नशिप को अवसर, लगायत थुप्रै अवसर हरु पाउने छन्। Orientation Program मा सहभागी हुन तलको फारम भर्नुहोला ।🙏🌹
Day109 #111DaysOfLearningForChange
Today I hosted Cloudminds:The Team induction with my team. We together build networks,leadership and got to know more about cloud computing.@CodeforChange2 #111DasyOfLearningFotChange #CodeForChange
Day108 #111DaysOfLearningForChange Divedinto the world of AI with the Turing Test.Explored how philosophyand other disciplines shape the way we understand AI. It's amazing how deeply human questions influence machine thinking.@CodeforChange2 #Day108LarningForChange #CodeForChange
Day106 #111DaysOfLearninfForChange Today i revised web scraping. Scrapied structured data from HTML tables using BeautifulSoup.@CodeforChange2 #Day106LearningForChange #CodeForChange
Day105 #111DaysOfLearningForChangeToday i learned about sigmoid function. It maps any real valued number to a value between 0 and 1.@CodeforChange2 #Day105LearningForChange #CodeForChange
Day104 #111DaysOfLearningForChange Exploring Finite Automata and its two main types: DFA (Deterministic Finite Automaton) one state, one path NFA (Nondeterministic Finite Automaton) many paths, one solution.@CodeforChange2 #Day104LearningForChange #CodeForChange
Day 101 #111DaysOfLearningForChange
@CodeforChange2 Learned how to use Scikit-Learn Pipelines today! 🚀
Pipelines help combine preprocessing & modeling steps into one simple workflow, making ML projects cleaner and faster.
#Day101LearningForChange #CodeForChange
Day103 #111DaysOfLearningForChange Today i learned about aggregate functions in sql and explored the languages in sql.@CodeforChange2 #Day103LearningForChange #CodeForChange
Day102 #111DaysOfLearningForChange MySQL database setup and data insertion success.Created user and product tables, inserted multiple records, and verified data with SELECT queries in XAMPP MariaDB.@CodeforChange2 #Day102LearningForChange #CodeForChange
Day101 #111DaysOfLearningForChange oday i just explored about activation functions and how they help neural networks learn complex patterns by adding non-linearity.@CodeforChange2 #Day101LearningForChange #CodeForChange
Day98 #111DaysOfLearningForChange Learned the difference between Dimensions and Measures.Also got hands-on by practicing and creating a few dashboards. @CodeforChange2 #Day98LearningForChange #CodeForChange
Day 96 #111DaysOfLearningForChange
@CodeforChange2 Learned about using OneHotEncoding for categorical features and handling rare categories in machine learning with pandas and sklearn!
#Day96LearningForChange #CodeForChange
Day93 #111DaysOfLearningForChange Used SVM and decision tree classifier to optimize churn prediction and got accuracy score of 88% for SVM and 83% for DecisionTreeClassifier. @CodeforChange2 #Day93LearningForChange #CodeForChange
Day92 #111DaysOfLearningForChange Optimized my Churn Prediction model using K-Nearest Neighbors and GridSearchCV .Used n_neighbors=9, weights=distance Achieved an accuracy score of 88% on the test set. @CodeforChange2 #Day92LearningForChange #CodeForChange
Day91 #111DaysOfLearningForChange Converted categorical labels to binary (Yes ➝ 1, No ➝ 0)
Scaled features using StandardScaler
Evaluated model using accuracy score @CodeforChange2 #Day91LearningForChange #CodeForChange
Day90 #111DaysOfLearningForChange Churn Prediction: Understanding how many customers are likely to leave vs stay is the first step in tackling churn. This pie chart gives a clear snapshot of the churn status yes/no.@CodeforChange2 #Day90LearningForChange #CodeForChange
Day89 #111DaysOfLearningForChange Feature Engineering Recap ✅ Techniques like One-Hot Encoding, Label Encoding, Binning, Feature Scaling Handling missing data smartly instead of dropping it @CodeforChange2 #Day89LearningForChange #CodeForChange
Day 86 of #111DaysOfLearningForChange –
@CodeforChange2
Learned EJS interpolation syntax & passing data to templates.
Used <%= %> to render dynamic data sent from Express.
Explored how to make pages interactive with server
#AsishLearns #CodeForChange #Day86LearningForChange
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