Learn industry-level end-to-end Data Science(DS) and Machine Learning(ML) in Python from Data Scientist(10 years experience) with Ph. D. in ML

Who is this course for?

Students/Fresher/Working professional

What the students will learn in this course?

• 56 topics, 70 coding exercises, 5mini projects, 2major projects, 40 downloadable resources
• Build Data Science projects with ML model to solve 10+ real-life business cases in Amazon, Zomato, Youtube, Quora, Uber, IPL, Spotify, cyber-security, healthcare etc.
• Fill up your resume with in-demand data science skills: Python programming with NumPy, pandas, matplotlib, and Seaborn, ML models and scikit-learn, Deep learning with TensorFlow, Advanced Statistical analysis
• Industrial tools for Data Science: Github, Docker, Heroku, Streamlit, Aireflow, Papermill, Jupyter notebook, PySpark, AutoML, H2O
• Learn to develop a complete Data Science project life cycle:Data acquisition, Data preparation, Hypothesis and modeling, Evaluation and Interpretation, Optimization, Deployment, Operations

Is there anything the students need to bring to the classes?
No