About the Course
Become an ML Engineer by learning algorithms, deep learning, NLP, time series, and deployment.
What You Will Learn
- Python for ML (NumPy, Pandas, Matplotlib)
- Statistics & Probability
- Supervised Learning (LR, SVM, DT, KNN, RF)
- Unsupervised Learning (K-Means, PCA)
- Feature Engineering & Data Cleaning
- Deep Learning (ANN, CNN, RNN)
- NLP (Text Cleaning, TF-IDF)
- Time Series Forecasting
- Model Deployment (Flask, FastAPI, Streamlit)
- End-to-End ML Live Projects