ML/AI — 20 Weeks
From Python basics to deep learning and deployment.
Progress
0% (0/16)
Python for ML
0/3 done- NumPy2h
- Pandas3h
- Matplotlib1.5h
Math Foundation
0/3 done- Linear algebra3h
- Probability2h
- Calculus basics2h
Supervised Learning
0/4 done- Linear regression2h
- Logistic regression1.5h
- Decision trees2h
- Random forests2h
Neural Networks
0/3 done- Perceptrons2h
- Backpropagation3h
- TensorFlow basics3h
Deep Learning
0/3 done- CNNs3h
- RNNs / LSTMs3h
- Transfer learning2h