Machine Learning Data Pre-processing and Data Wrangling Using Python
Master Python data preprocessing techniques for machine learning, including handling missing values, encoding, scaling, outlier detection, and data transformation using popular libraries.
Python Applications for Hydrology and Hydrogeology
Learn to leverage Python for hydrological and hydrogeological data analysis, including time series analysis, data visualization, and spatial data handling. Gain practical skills for automating tasks and creating impactful visualizations.
Data Mining for Beginners - Learn Data Mining
This video teaches Data Mining and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
NumPy Data Science Essential Training With Python 3
Master NumPy for data science: arrays, indexing, computation, visualization, and statistical analysis. Hands-on practice with Python 3 and Jupyter Notebook for real-world applications.
Practical Computing for Scientists
Learn scientific computing essentials: BASH, Python, and SQL. Develop programming and data wrangling skills for UNIX/LINUX environments. Practical exercises and quizzes included.
Data Wrangling Techniques in Julia - Part 2 - Tom Kwong
Explore advanced data wrangling techniques in Julia, covering reading, cleaning, tidying, analyzing, and visualizing data using two sample datasets for practical application.
Data Wrangling Techniques in Julia - Part 1 - Tom Kwong
Comprehensive overview of data wrangling in Julia, covering ecosystem, workflow stages (read, clean, tidy, analyze, visualize), and DataFrames.jl resources for effective data science practices.
TensorFlow Extended - Machine Learning Pipelines and Model Understanding
Explore TFX for building production-ready ML pipelines. Learn data processing, model analysis, and versioning techniques for large datasets, enhancing your machine learning workflow.
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.
Does Campaigning on Social Media Make a Difference? Evidence from Candidate Use of Twitter
Explore the impact of social media campaigning on elections using data science. Analyze Twitter usage by candidates, voter engagement, and campaign strategies to understand modern political landscapes.
Digital Data Products and Changing Conversations - Dr Ryan Dunn, Department for Work and Pensions
Exploring data science's role in public discourse, this talk addresses challenges in using data for decision-making and fostering trust in statistics, emphasizing accessibility and transparency.
Command-Line Data-Wrangling for Security Professionals
Mastering command-line tools for efficient data manipulation in offensive security. Learn sorting, regex, grep, find, and JSON processing to enhance your hacking capabilities.
Communicating Complex Data with Model Driven Journalism
Explore innovative approaches to bridge the gap between data science capabilities and public trust in statistics, focusing on making data-driven reporting more accessible and relevant for decision-making.
Data Science and Data Journalism Projects
Exploring data science in journalism: challenges, opportunities, and ethical considerations for leveraging public data to enhance reporting and foster critical thinking in the post-truth era.
Exploring Data Wrangler in VS Code - Python Data Science
Discover Data Wrangler in VS Code: Efficiently explore, analyze, and clean Airbnb listings data. Learn to invoke and use this powerful tool for streamlined data preprocessing in Python notebooks.
How to Learn Python - Python Roadmap in 2024
Comprehensive Python guide covering basics to advanced topics. Learn essential skills for software development, data science, and machine learning. Ideal for beginners and professionals seeking to enhance their Python expertise.
Kung Fu Data Wrangling in Python with Pandas
Learn essential Pandas techniques for efficient data manipulation in Python, covering dataframes, filtering, indexing, grouping, joining, and handling missing values with practical examples.
Jupyter Notebooks in VS Code
Explore Jupyter Notebooks in VS Code: features, demos, and integrations for data scientists. Learn about Codespaces, Data Wrangler, and Dev Containers to enhance your workflow.
Exploratory Data Analysis with Pandas Python 2023
Learn exploratory data analysis with pandas in Python from Kaggle grandmaster Rob Mulla. Covers data understanding, preparation, feature analysis, and relationships, with practical examples and insights for data scientists.
Python for Machine Learning - Machine Learning Tutorial for Beginners
Comprehensive introduction to Python libraries for machine learning, covering NumPy, Pandas, and Seaborn. Includes practical implementations of algorithms and data visualization techniques.
Python for Machine Learning - Machine Learning for Beginners
Explore essential Python libraries for machine learning, including NumPy for numerical computation, Pandas for data manipulation, and Seaborn for visualization. Gain practical skills through demos and Q&A.