Data Sets for Analytics - What Is a Dataset - Top 25 Datasets
Explore 25 free datasets for analytics, including Iris, Boston, and Titanic. Learn about dataset types, formats, and their importance in machine learning and data analysis.
Tableau vs Power BI - Best BI Tool - PowerBi & Tableau Difference
Comparative analysis of Tableau and Power BI, exploring key features, data handling, user experience, and purposes to help professionals choose the best business intelligence tool.
Python for Data Science - Writing to Files, Reading from Files and Error Handling
Learn essential Python skills for data science: writing and reading files, handling errors, and managing data efficiently.
Python for Data Science - Importing Functions, Packages, Making API Calls
Learn to import functions and packages, make API calls, and leverage Python for data science tasks efficiently and effectively.
Python for Data Science - OOP, Classes and Inheritance
Learn object-oriented programming concepts in Python, focusing on classes and inheritance, to enhance your data science skills and write more efficient, reusable code.
Python for Data Science - Functions and String Formatting
Learn to create functions and format strings in Python for data science applications, enhancing your coding efficiency and data manipulation skills.
Exploratory Data Analysis with Binance API Using Python and Pandas - MLTrader Episode 1
Learn to extract and analyze real-time crypto data from Binance using Python and Pandas. Covers API setup, data pulling, exploratory analysis, and candlestick visualization with MPLFinance.
How I Learned Data Science in 3 Months
Discover a unique memory technique for rapidly learning data science skills, including Python, machine learning, and deep learning, in just three months.
Pandas for Data Science - Python Crash Course
Learn essential Pandas skills for data science quickly. Create, update, visualize, and preprocess data frames from various sources, then output to CSV, JSON, and HTML formats.
Analyzing Twitter Accounts with Python and Personality Insights
Learn to analyze Twitter accounts using Python, Tweepy, and Watson Personality Insights. Create visualizations with Seaborn and Matplotlib to profile Twitter users and gain insights into their personalities.
PyScript Tutorial: Machine Learning with Scikit-Learn - Training and Interactive Prediction
Create interactive machine learning app with PyScript: upload CSV, train models, and make predictions using Pandas, Panel, and Scikit-Learn.
Command Line Tool for Large CSV Manipulation - Data Science CLI
Learn to efficiently manipulate large CSV files using 'xsv', a powerful command-line tool for filtering, slicing, and analyzing data, enhancing your data science workflow.
Excel to Simple Web Dashboard in R with FlexDashboard and Hosting on Hugging Face Spaces
Learn to create a simple web dashboard in R using FlexDashboard, transforming Excel data into an interactive visualization, and deploy it on Hugging Face Spaces for easy sharing and accessibility.
Build Machine Learning Blog with FastPages - Jupyter Notebook-Based Data Science Platform
Learn to create a free machine learning blog using FastPages, a powerful tool for data scientists to publish content from Jupyter Notebooks, Markdown, and Word documents.
Reddit Video Downloader in Python - Streamlit App Tutorial and Deployment
Build a Reddit video downloader app using Python, Streamlit, and Requests. Learn to fetch video links, download content, and deploy the web app on Hugging Face Spaces.
Automate and Deploy Jupyter Notebooks with GitHub Actions - MLOps
Learn to automate and deploy Jupyter notebooks using GitHub Actions, enhancing your MLOps workflow and streamlining the process of productionizing data science projects.
Real-Time Live Dashboard in Python Using Streamlit - Tutorial
Create a dynamic data science dashboard using Streamlit, featuring real-time updates for finance, marketing, or system monitoring. Learn key Streamlit components and Plotly Express charts integration.
Amazon SageMaker Studio Lab Tutorial - Google Colab Alternative
Learn to use Amazon SageMaker Studio Lab, a free tool for machine learning and data science with Jupyter notebooks, Python, R, and GPU support. Explore its features and advantages over alternatives.
Data Storytelling with ComicStrips - Using ComicGen and Google Sheets
Create engaging data comic strips using Gramener's ComicGen and Google Sheets, enhancing your storytelling skills with visual narratives.
SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18
Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.
Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15
Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.