Day 5 of my ML journey – Learn with me 👇
Tackled the Titanic 🚢 Kaggle challenge!
Here’s what every beginner should know:
📌 Use median to fill missing age
📌 Encode 'Sex' as 0/1
📌 Scale numerical features
📌 Try RandomForest for a strong baseline
#MachineLearning#Kaggle#AI
Day 4 of my ML journey – Learn with me 👇
Before training any model, clean your data like a pro:
🔹 Handle missing values
🔹 Encode categories
🔹 Feature scale (standardize/normalize)
🔹 Build transformation pipelines
Prep is 80% of ML success!
#100DaysOfML#MachineLearning
Day 2 of my ML journey – Learn with me 👇
Finished Ch. 1 of Hands-On ML Book✅
Key steps in an ML project:
🔹 Frame the problem
🔹 Get the data
🔹 Explore & prep
🔹 Train & fine-tune
🔹 Deploy 🚀
This pipeline is the ML backbone!
#100DaysOfML#MachineLearning#AI
Day 1 of my ML journey – Learn with me 👇
3 types of ML:
🧠 Supervised = labeled data
🔍 Unsupervised = find patterns
🎯 Reinforcement = learn by reward
Also learned: Batch vs Online Learning 💾⚡
#100DaysOfML#MachineLearning#AI
bro pushed his .env file with api creds that ACTUALLY WORK
u can just clone the project and use his stupid product for free lmaooooo
we're beginning to witness the first disasters of vibe coding
@InterviewCoder@im_roy_lee
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