Challenger USA Space Shuttle O-Ring
Predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights
5 min read
Data Representation
Mean, Median, Mode, Variance, Standard deviation, Skewness, IQR, Kurtosis, QQ plot
10 min read
Anscombe's quartet
Descriptive statistics, Data visualization
5 min read
World Happiness
Use the World Happiness Report dataset for predicting the happiness. Exploratory data analysis, Random Forest, Linear Regression, Python
10 min read
Understanding Hyperplanes
10 min read
Principal Component Analysis
Comprehensive overview of PCA.
10 min read
Gradient descent in Practice
Feature scaling and Learning Rate
10 min read
Pearson Correlation
Relationship between salt intake and systolic blood pressure.
5 min read
Application of Eigenvalues and Eigenvectors
Image Compression
10 min read
Regression
simple linear regression
10 min read
Optimizing Functions
10 min read
Classify Blood Pressure Categories
10 min read
Two-Sample T-Test
Determine if the means of two independent groups are significantly different from one another.
5 min read
Optimization Using Gradient Descent
Linear Regression
10 min read
Regression with Perceptron
Neural network corresponding to a simple linear regression model
10 min read
Machine Learning Math Concepts
Three areas of mathematics lie at the heart of machine learning: linear algebra, multivariate calculus and probability theory
15 min read
Classification with Perceptron
Single perceptron neural network model to solve a linear classification problem. Finding a straight line in a plane that would serve as a decision boundary to separate two classes.
10 min read
Simulate Dice Throws with NumPy
Python, NumPy
10 min read
Support Vector Machine
5 min read
Perceptron learning from mistakes
A classification approach where individuals are categorized as Obese or Not-Obese based on their body weight and height.
10 min read
Central Limit Theorem
Python, NumPy, Seaborn, Gaussian
10 min read
Implementing Batch Gradient Descent from Scratch in Python
Linear regression, Cost function, Model prediction
10 min read
Probability and Statistics
Regularization, Random noise, MLE, Gaussian Distribution
10 min read
Sigmoid function and logistic regression
10 min read
Logistic Regression
10 min read
Decision boundary in the context of logistic regression
10 min read
Random Forest
5 min read
Linear regression model with Scikit-learn Gradient Descent
SGDRegressor(gradient descent regression model), StandardScaler(z-score normalization)
5 min read
Logistic Regression using Scikit-Learn
5 min read
Non-Linear SVM
5 min read
Confidence Interval
Margin of error, Confidence level, Significance level, Normal distribution, Sample size
10 min read
Pearson Correlation and Linear Regression
Understanding Pearson Correlation and Linear Regression through a Practical Example
10 min read
Vectorization in Python
Understanding the Performance of For Loops vs. Vectorization in Python
5 min read
Multiple linear regression in Python
Multiple linear regression in Python to predict house prices
5 min read