By the end of this course, you will:
- Master Python programming, data analysis, and visualization using NumPy, Pandas, and Matplotlib.
- Build and evaluate machine learning models (Regression, Classification, Clustering, Ensemble methods).
- Gain hands-on experience with Deep Learning, CNNs, RNNs, and NLP applications using TensorFlow/Keras.
- Develop and deploy real-world projects and ML/DL applications with Flask, Django, or Streamlit.
- Earn a Guaranteed Internship Support & Course completion Certificate validating your industry-ready skills in Data Science & Machine Learning.