The Theoretical and Practical Foundations of Machine Learning. Master Matrices, Linear Algebra, and Tensors in Python
Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R
Standard measures / metrics of ML, Data Science & Steganography
Learn the Core of Data Science, Analytical Skill and Business Knowledge to make confident decisions
Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks
Learn neural networks (and back-propagation) theory and implementation in Python
Data Science : A practical Hands-on project on Covid-19 Data Analysis and Visualization using Plotly Express (45 graphs)
This course will teach you how you can easily improve your memory with a few simple habits, mindsets and exercises!
