Excel to MySQL: Analytic Techniques for Business Specialization

Advanced ML Algorithms

The course emphasizes the utilization of regularization to ensure the robustness of models, ensemble methods to enhance accuracy, and hyperparameters and feature engineering to optimize models for real-world challenges.

Foundations of Data Science: K-Means Clustering in Python

Leverage Python programming skills to develop and analyze comprehensive clustering procedures, thereby mastering the fundamental concepts and operations of data clustering, with a particular emphasis on the K-means algorithm.

ML in Mathematics: Linear Algebra

Learn linear algebra concepts, including eigenvalues and eigenvectors, and apply them to practical problems using Python and Jupyter notebooks.

Data Analysis with Python

Learn to clean, prepare, analyze, and manipulate data with Python, utilize libraries for exploratory data analysis, and develop regression models for prediction and decision-making using scikit-learn.

Computer Vision and Image Processing - Intro

Learn to apply image processing, analysis methods, and supervised learning techniques using Python, Pillow, and OpenCV to address computer vision issues across various industries.