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.
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.
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.
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.
Kaggle Competition Submission - Learn Python ML in 30 Days - Day 11
Learn to participate in machine learning competitions on Kaggle. Create and submit predictions, improving your skills through hands-on practice in a real-world competitive environment.
Building Your First Machine Learning Model and Model Validation - Day 9
Learn to build and validate your first machine learning model using scikit-learn. Explore techniques for handling large datasets, selecting features, and evaluating model performance through hands-on exercises.
Python Strings and Dictionaries for Machine Learning - Day 6 of 30 Days of ML
Explore Python strings and dictionaries for machine learning, focusing on text manipulation and data organization techniques essential for ML projects.
Python Loops and List Comprehension - Kaggle 30 Days of ML Day 5
Explore Python loops and list comprehensions for efficient code execution in machine learning, condensing multi-line operations into concise, powerful one-liners.
Python Boolean, Conditionals, and IF-ELSE Statements - Kaggle 30 Days of ML Day 4
Learn Python fundamentals for machine learning: Booleans, conditionals, and if-else statements. Part of Kaggle's 30 Days of ML challenge to build daily coding habits.
How to Become a Practical Data Scientist with Kaggle Learn
Discover a comprehensive, free path to becoming a practical data scientist using Kaggle Learn's step-by-step courses, covering Python, machine learning, data visualization, and more.
Build Streamlit Dashboard Template for Python Data Science
Learn to build interactive data science dashboards using Streamlit in Python, covering layout design, data visualization, and customization techniques for creating professional-looking web applications.
Building and Deploying a YouTube Thumbnail Downloader with Python and Streamlit
Learn to create and deploy a Python-based YouTube thumbnail downloader using Streamlit, from concept to live web application. Gain practical experience in building and hosting a useful tool for content creators.
Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit
Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.
Using Scikit-Learn Pipelines for Data Preprocessing with Python
Deep dive into Scikit-Learn Pipelines for efficient data preprocessing in Python, enhancing your machine learning workflow and streamlining model development.
Python for Data Science - Doing Math with Python
Learn essential math operations in Python for data science, including multiplication and exponents, using Jupyter Notebooks as a powerful computational tool.