April 19, 2026
Setting Up Jupyter Notebooks in Google Colab with Google Drive
Upload the entire "Python Machine Learning Bootcamp" folder directly to "My Drive" in Google Drive without nesting in other folders. Watch this tutorial to...
Colin Jaffe
Learn Machine Learning
101 articles in Machine Learning
April 19, 2026
Visualizing K-Nearest Neighbors with Simple Data Points
Visualize and plot sample data points to understand k-nearest neighbors classification. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
One-Hot Encoding for Categorical Data in Machine Learning
Convert categorical salary data into numerical format using Pandas' one-hot encoding. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Visualizing Survival and Class Distribution in Titanic Data Analysis
Analyze Titanic survival rates by passenger class. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Model Accuracy: Understanding Precision and Recall Metrics
Evaluate classification results using accuracy, precision, recall, and the F1 score to identify prediction errors. Watch this tutorial to learn the key...
Colin Jaffe
April 19, 2026
Visualizing and Predicting Classes with Scatterplot and KNN
Visualize and classify a new data point using the KNN model. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Standard Deviation and the Bell Curve
Explain standard deviation as a measure of how values spread out from the mean in a normal distribution. Watch this tutorial to learn the key concepts and...
Colin Jaffe
April 19, 2026
Prediction Accuracy: Analyzing Model Performance
Evaluate model predictions using accuracy score and analyze errors. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Mode: Finding the Most Common Value in Data Analysis
Calculate the mode to identify the most frequently occurring value in a dataset. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
K-Nearest Neighbors with Iris Flower Data Visualization
Visualize how K-Nearest Neighbors classifies iris species using multidimensional data. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Understanding K-Nearest Neighbors in Supervised Learning
Classify new data points by comparing them to their closest labeled neighbors. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Neural Network Predictions: Accuracy and Fine-Tuning
Evaluate model predictions on test images and compare them to actual labels to assess accuracy. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Linear Regression: Predicting Relationships in Data
Explore linear regression to predict y values from given x data points by minimizing variance. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Accessing DataFrame Rows and Columns
Use .iloc and .loc with correct indexing and slicing to select specific rows and columns from a Pandas DataFrame. Watch this tutorial to learn the key concepts...
Colin Jaffe
April 19, 2026
Filling Missing Age and Embarked Data for Titanic Analysis
Fill missing age values with gender-based means and replace missing embarked entries with the mode value 'S'. Watch this tutorial to learn the key concepts and...
Colin Jaffe
April 19, 2026
Visualizing Predictions with KNN on Flower Data
Implement and visualize a simple k-nearest neighbors classifier to predict a new data point's class. Watch this tutorial to learn the key concepts and...
Colin Jaffe
April 19, 2026
Regression and Data Analysis with Python Libraries
Review statistical libraries, Python data science basics, and data loading with Pandas in Jupyter Notebooks. Watch this tutorial to learn the key concepts and...
Colin Jaffe
April 19, 2026
Exploring Logistic Regression for Employee Retention Prediction
Introduce logistic regression to predict employee attrition using HR data. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Continuous Classification: Linear Regression Explained
Use linear regression to predict continuous numeric values by fitting a line to data. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe
April 19, 2026
Training and Testing Linear Regression Models
Train the linear regression model using X train and Y train data. Watch this tutorial to learn the key concepts and techniques.
Colin Jaffe