Generating Mock Data with Python - NumPy, Pandas, and Datetime Libraries
Learn to generate realistic mock sales data using Python libraries like NumPy, Pandas, and Datetime. Create datasets with varied product purchases, timestamps, and addresses for data science practice.
Genes and Geography - A Bioinformatics Project
Comprehensive bioinformatics walkthrough: analyze population genotype data using PCA/TSNE, from data acquisition to visualization, with practical coding in Python and Colab.
Python for Data Science - Mastering NumPy, Pandas, and Plotly
Comprehensive tutorial on using NumPy, Pandas, and Plotly for data science in Python. Covers core concepts and practical applications with hands-on examples and free resources.
Python for Finance: Downloading and Analyzing Stock Data
Learn to analyze stock market data using Python, covering Numpy, Pandas, data cleaning, and calculating financial metrics for thousands of stocks.
Linear Regressions with StatsModels - Data Science Tutorial
Learn to create linear regressions using StatsModels, exploring datasets and examples with NumPy, Pandas, Matplotlib, and Seaborn. Analyze professor ratings and tipping strategies through practical applications.
Python for Data Science
Comprehensive guide to mastering Numpy, Pandas, and Plotly for data science in Python. Covers core concepts and practical applications with free, commented code files for hands-on learning.
Accessing Elements of NDArray in NumPy - Python Programming
Learn to access elements in NumPy ndarrays, from basic indexing to multi-dimensional array manipulation, enhancing your Python data handling skills.
Coding Up a Linear Regression Algorithm From Scratch - Build Linear Regression From Python
Advanced Python tutorial on implementing Linear Regression from scratch, covering object-oriented programming, vectorized operations, and efficient coding strategies. Bridges theory and practice for experienced data scientists.
Data Science: Complete Roadmap to Become a Data Scientist
Comprehensive roadmap to becoming a data scientist, covering essential skills, tools, and resources. Includes job prospects, learning strategies, and recommended books for career advancement.
Introduction to Machine Learning with Python
Explore machine learning fundamentals using Python, covering key concepts and practical applications in this hands-on workshop led by a field engineer from Domino.
MLOps: Using Python Libraries in DotNet - Spacy, Numpy, Pandas
Integrate Python libraries like Spacy, NumPy, and Pandas into .NET applications using Pythonnet for enhanced machine learning and data science capabilities.
NumPy: Introduction, Installation, Attributes, and Arithmetic Operations
Master NumPy fundamentals: installation, attributes, and arithmetic operations for efficient numerical computing in Python.
Differential Equation with Boundary Conditions Using Finite Difference in Python
Solve differential equations with boundary conditions using Python's NumPy and finite difference method. Master numerical techniques for complex mathematical problems.
Linear Algebra in NumPy and SciPy - ME3255
Learn essential linear algebra operations using NumPy and SciPy libraries in Python for efficient numerical computations and data analysis.
Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping
Comprehensive tutorial on NumPy: array creation, indexing, mathematics, statistics, and reshaping. Covers basics to advanced topics, with practical examples and problem-solving exercises.
Complete Numpy and Pandas
Master essential data science libraries: array operations, data manipulation, cleaning, and analysis techniques for efficient data handling and processing.
Numpy Library
Master NumPy: array creation, manipulation, indexing, slicing, arithmetic operations, and matrix functions for efficient data handling and scientific computing in Python.
The NumPy Tutorial
Learn NumPy basics: arrays, indexing, slicing, broadcasting, and operations. Master essential tools for efficient numerical computing in Python.
Numpy and Inbuilt Functions Tutorial
Learn NumPy library essentials, including arrays, indexing, and built-in functions, to enhance your Python skills for data manipulation and scientific computing.
Create Impactful 3D Bar Graphs for Better Data Visualization
Learn to create impactful 3D bar graphs using Python libraries like Pandas and Matplotlib. Explore real-world datasets and master techniques for effective data visualization.
Getting Started with Retail Data Analytics
Develop retail data analytics skills using Python libraries to create consumer profiles, purchase histories, and interactive dashboards with geo-traceable data from 4500+ Walmart stores.