Introduction to Python and Google Colab for Data Science and Machine Learning
Quick Python and Google CoLab tutorial for data science and machine learning, covering basics, file operations, and environment setup for beginners familiar with other programming languages.
Data Visualization - From Square One to Interactivity
Learn to create effective data visualizations using Python libraries Matplotlib and Bokeh. Explore design principles, reduce clutter, and add interactivity to communicate insights clearly and compellingly.
State of the Art Natural Language Understanding at Scale - David Talby
Explore state-of-the-art NLP techniques using Apache Spark, covering core algorithms, distributed pipelines, and performance optimizations for large-scale language understanding applications.
Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event
Explore Scikit-Learn's evolution, technical aspects, and future with core contributor Thomas Fan. Gain insights into open-source collaboration, industry applications, and machine learning advancements.
Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning
Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.
Big Data Machine Learning & Data Products with Python and H2O
Explore big data machine learning with Python and H2O in this talk. Learn about H2O's distributed processing, integration with Python ecosystem, and fast production scoring for smart business applications.
Forecasting with the FB Prophet Model
Learn to use Facebook's Prophet model for time series forecasting in Python, covering data preparation, model training, evaluation, and incorporating holiday effects.
Data Science - Chess Data Analysis
Explore chess data analysis using Python, covering ELO differences, game upsets, PGN parsing, and Stockfish integration. Learn to visualize winning streaks and analyze professional games.
Flight Delay Dataset Creation
Live coding session demonstrating the creation of a flight delay dataset using Python and Pandas. Learn data acquisition, cleaning, exploration, and visualization techniques with real-world airline data.
Do These Pandas Alternatives Actually Work?
Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.
Python Sentiment Analysis Project with NLTK and Transformers - Classify Amazon Reviews
Learn to classify Amazon review sentiment using NLTK's VADER and Huggingface's RoBERTa models in Python. Compare results and gain practical NLP skills for language modeling and data science.
Image Processing with OpenCV and Python
Learn image processing in Python using matplotlib and OpenCV. Covers reading, manipulating, and saving images, with practical examples for computer vision and data science applications.
Complete Data Science Project
Explore Wordle tweet data through comprehensive EDA using Python, pandas, and matplotlib. Learn data wrangling, visualization techniques, and gain insights from a Kaggle Grandmaster's analysis.
Solving Real World Data Science Tasks With Python Pandas
Analyze real-world sales data using Python Pandas and Matplotlib. Learn data cleaning, exploration, and visualization techniques to answer key business questions and gain valuable insights.
Practical Statistics for Data Scientists - Data and Sampling Distributions
Explore data and sampling distributions in statistics for data science, covering random sampling, bias, regression, and key statistical concepts with practical examples.
Data Analyst Setup for Productivity - Python, R, SQL
Explore a data analyst's productivity setup, including Miniconda, Python environments, VSCode, R Studio, and essential hardware recommendations for efficient data analysis workflows.
Day in the Life of a Data Analyst - Bing Maps API
Explore a real-world data analysis task using Python and Bing Maps API to gather school location data, showcasing workflow structure and geospatial analysis techniques.
AIUK 2022 Workshop - RADDISH: Real-Time Data Assimilation for Digital Twins
Explore real-time data assimilation for digital twins using particle filtering techniques, with interactive demonstrations and discussions on parallelization, future applications, and implementation challenges.
The Defence Context - Geospatial Standards for Data Science
Explore geospatial standards in data science for defense, covering interoperability, machine learning, and emerging technologies to enhance information sharing and decision-making.
Candlestick Pattern Recognition with Python and TA-Lib
Learn to recognize candlestick reversal patterns using Python and TA-Lib. Practical implementation of Japanese Candlestick Charting Techniques for market analysis and trading strategies.
Robot Framework Beginner Tutorial - Getting Started With Robot Framework Step by Step
Learn to set up Robot Framework from scratch, including installation, configuration, and helpful tips for beginners. Gain practical knowledge to start automating tests efficiently.