Investment Portfolio Management with Python - Maximizing Return and Minimizing Risk
Learn to maximize returns and minimize risk using Markowitz Portfolio Optimization and Sharpe Ratio. Master efficient frontier, volatility analysis, and advanced data science techniques for investment portfolio management.
Best Stocks to Buy Now - Python for Finance - Part 6
Learn to automate stock market predictions using Python, focusing on regression analysis to identify high-momentum stocks and forecast potential returns across the entire market.
Stock Market Prediction Using Regression Analysis - Python for Finance
Learn stock market prediction using Python, covering regression analysis, forecasting, and ARIMA models to guide investment decisions based on past performance.
Low Risk Investments - Python for Finance 4
Learn Python techniques for analyzing low-risk investments, including portfolio creation, risk assessment, ROI analysis, and stock sector diversification using data science libraries.
Python for Finance: Downloading and Analyzing Stock Data
Learn to analyze stock market data using Python, covering Numpy, Pandas, data cleaning, and calculating financial metrics for thousands of stocks.
Linear Regressions with StatsModels - Data Science Tutorial
Learn to create linear regressions using StatsModels, exploring datasets and examples with NumPy, Pandas, Matplotlib, and Seaborn. Analyze professor ratings and tipping strategies through practical applications.
Art of the Possible: Showcasing Data Science Solutions for a Better World
Showcasing data science solutions for social good: challenges, approaches, and impact. Explores ethical AI, civic engagement, and inclusive design for systemic change in humanitarian and environmental sectors.
Visualizing Climate Data
Create a climate spiral visualization using p5.js to illustrate temperature changes over time. Learn data handling, polar coordinates, and animation techniques to effectively represent climate data.
Excel 2021 VBA Expert Tutorial
Master Excel 2021 VBA programming: automate tasks, create custom tools, and enhance productivity. Learn debugging techniques, error handling, and advanced features for efficient code development.
Global Cyberinfrastructure for LIGO, Virgo, Kagra, IceCube, and Others
Explore global cyberinfrastructure supporting multi-messenger astrophysics experiments, including data management, compute clusters, and modular software stacks for collaborative research.
Privacy by Design for Agile Development - Uber's Approach
Integrating privacy by design principles in agile development at Uber: challenges, strategies, and practical approaches for ensuring data protection in a fast-paced tech environment.
Building Products People Trust - Designing Privacy, Consent, and Security
Practical advice on designing security software with trust, privacy, and empathy in mind, making it easy to understand and use for increased effectiveness.
How to Play Dungeons & Dragons
Learn the essentials of Dungeons & Dragons gameplay, from character creation to combat mechanics, in this comprehensive tutorial for beginners and experienced players alike.
D&D Character Creation Tutorial - Creating Custom Characters
Learn to create custom Dungeons & Dragons characters, understand character sheets, and explore the game's basics in this comprehensive tutorial for beginners and enthusiasts alike.
Hunting Twitter Bots at Scale - 2018
Explore techniques to identify and track automated Twitter accounts using data collection, attribute analysis, and machine learning classifiers for large-scale bot detection.
Detecting Bifurcations in Dynamical Systems with Zigzag Persistent Homology
Explore zigzag persistent homology for efficient detection of bifurcations in dynamical systems, reducing computational costs and capturing topological changes in a single persistence diagram.
Computing Persistent Homology - Introduction
Explore the fundamentals of persistent homology computation, covering key concepts, intuition, and practical applications in topological data analysis.
Ulrich Bauer - Persistence Diagrams as Diagrams
Explore persistence diagrams as categorical functors, examining their structure, stability, and relationships to matchings. Learn about new constructions and theorems in this advanced algebraic topology lecture.
An Introduction to the Topology ToolKit
Comprehensive introduction to the Topology ToolKit (TTK) for topological data analysis and visualization, covering usage in ParaView and Python, advanced features, and resources for further learning.
TDALabs - Some of TDA's Greatest Hits in Interactive Python
Interactive exploration of TDA's key applications using Python, covering time series analysis, image processing, 3D shape clustering, and more. Hands-on examples showcase TDA's versatility and practical uses.
Limit Theorems in Topological Data Analysis
Explore limit theorems in topological data analysis, focusing on barcodes, persistence modules, and random persistence modules. Learn about convergence proofs and expectations for uniform distributions on compact submanifolds.