Data Science Student's

My lessons are structured in a logical and easily digestible format, allowing you to grasp complex concepts gradually.

Receive detailed maps on outlining Python's vast landscape, allowing you to navigate complex concepts with ease.

Learn to deisgn your own predictive model for data analysis using Python, JavaScript, or R Programming.

1. Use case of Python in Mechanical, Civil, Electrical & Aero Space Engineering.
2. Libraries: Python, Pandas, NumPy, SciPy, statsmodels, SimPY, Seaborn, Matplotlib, Scikit-learn, Keras, & Tensflow.
3. Machine Learning and Deep Learning
4. Tunning and Validating Model
5. Report Writing
6. Statistical Analysis
7. Book and Article Recommendation

Learn to build model for cluster analysis for understanding customer segmentation.

Learn about deep learning model basic building blocks.

Learn to build and train Google Tesorflow & Meta PyTorch Model.