Learning Pandas - Start Here
Comprehensive overview of Pandas functionality, covering data I/O, DataFrame operations, filtering, statistics, grouping, and data manipulation techniques for efficient data wrangling and analysis.
Python Tutorial with Generative AI for Beginners - Full Course 2024
Comprehensive Python tutorial covering basics to advanced topics, including OOP, data structures, algorithms, machine learning libraries, generative AI, automation, and GUI development.
Complete Python Pandas Data Science Tutorial - 2024 Updated Edition
Comprehensive tutorial on Python Pandas for data analysis, covering basics to advanced techniques. Learn to manipulate, filter, and aggregate data efficiently using the latest Pandas features and AI tools.
Columnar Storage: Redefining Data Management for the Modern Era
Discover how columnar storage optimizes data warehousing through Apache Arrow, Parquet, and Pandas, improving query performance and reducing costs while enhancing analytics workflows.
Forecast Any Mathematical Number Sequence with Regression - Machine Learning
Learn to generate and forecast mathematical number sequences using Python, pandas, numpy, and scikit-learn. Visualize data with matplotlib and apply regression models to predict future numbers in various function-based series.
LangChain and OpenAI for Querying Databases and CSV Files with Natural Language
Learn to query databases and CSV files using natural language with LangChain and OpenAI, converting English to SQL or pandas commands for efficient data retrieval and analysis.
Getting Started with Machine Learning - Machine Learning Tutorial for Beginners
Learn to build a machine learning model for diabetes prediction using data manipulation, visualization, and exploratory analysis with Python libraries like pandas, NumPy, Matplotlib, and scikit-learn.
Sentiment Analysis with BERT Neural Network and Python
Learn to perform sentiment analysis using BERT and Python. Scrape Yelp reviews, calculate sentiment scores, and leverage pre-trained models for efficient NLP tasks. Ideal for those interested in advanced text analysis techniques.
Getting Started with Machine Learning - What is Machine Learning
Comprehensive introduction to machine learning, covering data manipulation, visualization, exploratory analysis, and model building using Python libraries and the Diabetes dataset.
Machine Learning Basics - Machine Learning for Beginners
Comprehensive introduction to machine learning basics, covering key concepts, data manipulation, visualization, and model building using Python libraries and real-world datasets.
Machine Learning with Python - Python for Data Science and Machine Learning
Comprehensive tutorial on NumPy, Pandas, and data visualization tools for Python-based machine learning, covering array operations, data manipulation, and creating statistical graphics.
Master SQL with Python: Maintaining Data in SQL Server Using Merge - Lesson 13
Learn to efficiently update SQL Server tables using the Merge statement and pandas integration, ensuring data stays current for analysis. Covers inserting, updating, and deleting rows with practical demonstrations.
Langchain Agents for Pandas
Explore LangChain Agents for automated Pandas DataFrame analysis using LLMs. Learn implementation, testing, and source code insights for enhanced data manipulation.
Machine Learning for Continuous Integration - Andrea Frittoli & Kyra Wulffert - ODSC Europe 2019
Explore machine learning techniques for analyzing CI/CD pipeline data, extracting insights, and automating failure identification using open-source tools like TensorFlow and Pandas with real-life OpenStack community data.
ADVANCED Python AI Agent Tutorial - Using RAG
Learn to create an AI agent with RAG capabilities, utilizing various tools for task-specific actions. Explore data querying, agent building, and unstructured data handling in Python.
Langchain: Working with Structured Data, Databases, and CSV Files
Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.
Deploying Machine Learning Models for Forensic Anthropology with Docker and Streamlit
Deploy ML models for forensic anthropology using Docker and Streamlit. Learn to create a web application for skeletal sex prediction, combining archeology, physics, and technology for impactful research in bioarchaeology.
Introduction to Data Analysis with Security Onion and Other Open Source Tools
Learn data analysis techniques for cybersecurity using open-source tools like Security Onion and Python. Explore PANDAS, ElasticSearch, frequency analysis, and time series analysis for effective threat hunting.
Speed Up Data Access with PyArrow Apache Arrow - Data is the New API
Explore Apache Arrow's columnar memory format for fast, language-independent data access. Learn about PyArrow integration, performance benefits, and Apache Flight for analytics.
Exploring the Wonders of Timesketch and Jupyter
Harness the power of notebooks and Timesketch to solve forensic challenges. Learn data analysis, visualization, and API integration for effective digital investigations.
Fast Data Mining with Pytables and Pandas
Explore efficient data mining techniques using Pytables and pandas for handling large datasets and performing rapid analysis.