Data Science for Discovery

Decision Intelligence, Artificial Intelligence, Statistics, Numerical Analysis

• Exploring Full-Funnel Advertising Strategies with Markov Chains and Python SymPy

• Generating and Analyzing Random Python Avatars with Machine Learning

• Geospatial Analysis of City Amenities Using Overpass API

• Chapter 1 Practice: Introductory Time Series with R by Cowpertwait and Metcalfe

• Time Series Analysis in R: A Hands-on Approach

• Exploring Time Series Data Across R and Python

• Understanding SQL Joins with DuckDB in Python

• Building an XGBoost Classifier with Margin Scores in Python

• Exploring Equidistant Points in a 2D Space using PySpark

• Maximizing Returns: Using Decision Trees and Expected Values for Strategic Decision Making

• Optimizing the Stalagmite Function using Octave and Genetic Algorithm in Google Colab

• Exploring Genetic Algorithms for Optimization

• Calculating Prediction Intervals in Regression Using Python NumPy and Statsmodels

• Sequential and Adjusted ANOVA in Regression Analysis

• Solving UnicodeDecodeError: Loading Data into Pandas DataFrame

• Navigating Data Integration and Predictive Modeling with RapidMiner

• Medallion Architecture Design using PySpark and Delta Lake

• Imputing Missing Data with K-Nearest Neighbors Algorithm

• Optimizing with Gurobi: Insights from MIPLIB Benchmark

• Algebraic Method for Linear Programming Solutions using SymPy in Python

• Solving Robertson's ODE: A Comprehensive Exploration of Numerical Integration

• Exploring XOR Neural Networks with Python itertools

• Mathematical Modeling and Optimization for Curve Fitting with Gurobi in Python

• Linear Regression: Exploring Quadratic Least Squares Optimization with Gurobipy

• Solving Multivariate Time-Dependent Ordinary Differential Equations (ODE) with Runge-Kutta Method

• Confidence Intervals: A Practical Guide in Python

• Confidence Intervals: Statistical Fundamentals and Python Visualization

• Evaluation of Classifier Performance

• Understanding and Addressing Imbalanced Datasets in Machine Learning

• Understanding Data Binning in Python with NumPy and Pandas