Machine Learning Videos
Introduction to Machine Learning
- Machine Learning Basics ⟶ Click the link to view the video
- Supervised & Unsupervised learning in layman’s terms ⟶ Click the link to view the video
Confusion Matrix
- What is a Confusion Matrix? ⟶ Click the link to view the video
- Implementing a Confusion Matrix in Python ⟶ Click the link to view the video
Bias-Variance Tradeoff
- What is Bias-Variance Tradeoff? ⟶ Click the link to view the video
- Implementing Bias-Variance Tradeoff in Python ⟶ Click the link to view the video
Accuracy, Precision, Recall & F1-Score
- Accuracy Paradox in Machine Learning ⟶ Click the link to view the video
- Precision & Recall for a Machine Learning Model ⟶ Click the link to view the video
- Performance Metrics - F1 Score ⟶ Click the link to view the video
- Accuracy, Recall, Precision, F1 Score in Python from scratch ⟶ Click the link to view the video
- Micro & Macro Precision For Imbalanced Multi-class Classification ⟶ Click the link to view the video
How to Correctly Interpret P-Values
- Computing P-Value by Hand ⟶ Click the link to view the video
- P-Value calculation from Z Score ⟶ Click the link to view the video
- What does P-Value mean in Regression? ⟶ Click the link to view the video
Principal Component Analysis, Eigenvectors & Eigenvalues
- Principal Component Analysis (PCA) from Scratch in Python ⟶ Click the link to view the video
- Visualizing Eigenvectors & Eigenvalues using Python ⟶ Click the link to view the video
- Visualizing Eigenvectors using Matplotlib ⟶ Click the link to view the video
Web Scraping using Python
- Web Scraping Dynamic Graphs to CSV Files using Python ⟶ Click the link to view the video
Outlier Detection
- Outlier Detection using Quantiles ⟶ Click the link to view the video
- Grubbs Test for Outlier Detection using Python ⟶ Click the link to view the video
- Generalized ESD Test for Outlier Detection using Python ⟶ Click the link to view the video
- Detecting Outliers with Z-scores in Python ⟶ Click the link to view the video
TensorFlow Tutorials
- Tensorflow Basics in 5 Minutes ⟶ Click the link to view the video
- TensorFlow 2.0 - Introductory Tutorial ⟶ Click the link to view the video
- Build a Simple Neural Network with TensorFlow 2.0 in Google Colab ⟶ Click the link to view the video
Gradient Descent Variants
- Stochastic vs Batch vs Mini-Batch Gradient Descent ⟶ Click the link to view the video
- Visualizing Stochastic & Batch Gradient Descent in Matplotlib ⟶ Click the link to view the video
Natural Language Processing (NLP)
- Latent Dirichlet Allocation (LDA) for Topic Modeling ⟶ Click the link to view the video
Voting Classifier
- What is a Voting Classifier? ⟶ Click the link to view the video
- Implementing a Voting Classifier in scikit-learn ⟶ Click the link to view the video
Boosting in Machine Learning
- What is Boosting? ⟶ Click the link to view the video
- AdaBoost, Simplest Example ⟶ Click the link to view the video
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