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Using Google’s NotebookLM for Data Science: A Comprehensive Guide
This blog post explores NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists.
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10 GitHub Repositories to Master Machine Learning
The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.
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The Top 5 Alternatives to GitHub for Data Science Projects
The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.
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Create Stunning Data Viz in Seconds with ChatGPT
Data scientists love it! See how ChatGPT creates jaw-dropping data viz with just a few words - it's almost unfair how easy it is.
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Enhance Your Python Coding Style with Ruff
Ruff's 700+ built-in lint rules, reimplemented in Rust for speed, provide comprehensive linting and formatting to enforce clean and consistent Python code.
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The 5 Best Vector Databases You Must Try in 2024
The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.
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Getting Started with Claude 2 API
I recently gained access to Anthropic's API, and I am impressed by how easy it is to use and faster than OpenAI API.
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Top 7 Essential Cheat Sheets To Ace Your Data Science Interview
The blog covers cheat sheets on SQL, statistics, pandas, data visualization, scikit-learn, Git, and theoretical data science concepts.
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5 Ways You Can Use ChatGPT Vision for Data Analysis
Enhances data analysis by interpreting visual data, including math formula, data extraction, evaluating the results, dashboards, and charts.
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Leveraging the Power of GPUs with CuPy in Python
Whether you're doing machine learning, scientific computing, or working with huge datasets, CuPy is an absolute game-changer.
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