๐ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐ณ๐ผ๐ฟ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ๐
A structured path makes ML learning faster and easier ๐
1๏ธโฃ Learn Python Basics
โข Variables
โข Loops
โข Functions
2๏ธโฃ Master Data Analysis
โข NumPy
โข Pandas
โข Data Cleaning
3๏ธโฃ Understand Supervised Learning
โข Features & Labels
โข Train/Test Split
โข Overfitting Basics
4๏ธโฃ Learn Regression
Start with Linear Regression.
5๏ธโฃ Learn Classification
โข Logistic Regression
โข Decision Trees
โข KNN
6๏ธโฃ Understand Evaluation Metrics
โข Accuracy
โข Precision
โข Recall
โข F1-Score
7๏ธโฃ Practice on Real Datasets
Use Kaggle & open datasets.
8๏ธโฃ Build Projects
โข House Price Prediction
โข Churn Prediction
โข Recommendation Systems
๐ Focus on consistency, not speed.
Strong fundamentals create strong ML engineers.
May 11, 2026 657 7
