๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐๐๐ฆ๐๐ฉ โ ๐ ๐ซ๐จ๐ฆ ๐๐๐ซ๐จ ๐ญ๐จ ๐๐ฑ๐ฉ๐๐ซ๐ญ
December 30, 2024
๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐๐๐ฆ๐๐ฉ โ ๐ ๐ซ๐จ๐ฆ ๐๐๐ซ๐จ ๐ญ๐จ ๐๐ฑ๐ฉ๐๐ซ๐ญ
โ ๐๐ญ๐๐ฉ ๐: Build Your Foundations
Linear Algebra โ Matrices, Vectors, Eigenvalues
Probability โ Bayesโ Theorem, Distributions
Calculus โ Gradients, Optimization
Programming
Python โ Master libraries like NumPy, Pandas, Matplotlib
Learn OOP concepts for better model building
โ ๐๐ญ๐๐ฉ ๐: Data Handling
Work with real datasets โ Cleaning, preprocessing, and visualization
Get hands-on with data analysis tools โ Pandas, Seaborn, SQL
โ ๐๐ญ๐๐ฉ ๐: Core Machine Learning
Understand Supervised Learning
Regression (Linear, Logistic)
Classification (SVM, Decision Trees, etc.)
Dive into Unsupervised Learning
Clustering โ K-means, DBSCAN
Dimensionality Reduction โ PCA
โ ๐๐ญ๐๐ฉ ๐: Advanced Topics
Neural Networks
Learn TensorFlow/PyTorch for building deep learning models
Study architectures like CNNs, RNNs, Transformers
Model Deployment
Understand MLOps โ Model serving, monitoring, and pipelines
โ ๐๐ญ๐๐ฉ ๐: Practical Projects
Work on real-world problems โ Predictive analysis, recommendation systems, NLP applications
Build a portfolio to showcase your skills โ GitHub, personal website
๐๐ข๐ฉ: Focus on learning by doing, not just theory. Apply concepts as you learn!
Credits Arif Alam
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