DigitalSreeni Courses

Advanced Correlation Analysis in Python - Confidence Intervals and Statistical Testing - Part 3/4

Master advanced correlation analysis with confidence intervals, multiple testing corrections, bootstrap validation, and hierarchical clustering for statistically rigorous results.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Correlation Analysis in Python - Pearson vs Spearman Correlation

Master correlation analysis fundamentals using Python with Pearson and Spearman methods, assumption checking, and visualization techniques through the Palmer Penguins dataset.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Descriptive Statistics and Data Visualization for Breast Cancer Data Analysis

Dive into descriptive statistics using breast cancer data to master central tendency, dispersion measures, advanced visualizations, and outlier detection techniques.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Understanding Data Distributions - Statistical Analysis in Python Tutorial 3

Explore data distributions through visual methods, normality tests, and transformations using Python and the UCI Wine Quality Dataset for statistical analysis.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Advanced Dimensionality Reduction - t-SNE vs UMAP vs PCA Deep Dive

Master non-linear dimensionality reduction with t-SNE and UMAP for complex data visualization, including parameter tuning and Python implementation using breast cancer classification.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Causal Inference for Data Scientists - Moving from Association to Intervention

Discover how to move beyond correlation to true causation in data science, using DoWhy library to estimate real causal effects and optimize marketing spend by identifying persuadable customers.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

3D Organoid Data Analysis with Python - Introduction and Pipeline Overview - Tutorial 1

Discover how to analyze 3D organoid imaging data using Python and machine learning with real Nature Methods datasets, bridging wet-lab biology and computational data science.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Normalized Discounted Cumulative Gain (NDCG)

Dive into NDCG, the industry-standard metric for evaluating ranking quality in recommendation systems. Build intuition through concrete examples and step-by-step math breakdowns.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

All About Base64 - Python Tutorial for Binary Data Encoding

Master Base64 encoding in Python for safely representing binary data as text, including practical examples with images and PDFs using ReportLab.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Recommender Systems Beyond Netflix - From Drug Discovery to Finance

Discover how matrix factorization and recommender system algorithms revolutionize drug discovery, materials science, and finance beyond entertainment platforms.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Understanding Model Predictions with SHAP - XGBoost vs Neural Networks

Discover how SHAP explains machine learning predictions using game theory concepts, comparing XGBoost and neural networks on breast cancer data for interpretable AI decisions.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Grain Size Analysis in Python Using Watershed

Watershed-assisted segmentation in Python for analyzing grain size in microscope images, overcoming limitations of threshold-based methods for improved accuracy in feature separation.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Grain Size Analysis in Python Using a Microscope Image

Automate grain analysis in metal alloys using Python and microscope images. Learn image processing techniques to generate summaries and CSV files for quality control and research.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Image Registration Using Homography in OpenCV

Learn image registration using homography in OpenCV. Explore keypoint descriptors, matching techniques, and practical implementation for aligning distorted images with reference images.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Key Points, Detectors and Descriptors in OpenCV

Learn to detect and describe key points in images using OpenCV algorithms like SIFT, SURF, and ORB for tasks such as image comparison and alignment.

• YouTube
• 30 minutes
• Self-Paced
• Free Video