Statistics for topic pandas
RepositoryStats tracks 579,129 Github repositories, of these 574 are tagged with the pandas topic. The most common primary language for repositories using this topic is Python (296). Other languages include: Jupyter Notebook (204)
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150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Start developing and backtesting your own automated trading strategies
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Start developing and backtesting your own automated trading strategies
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomali...
Start developing and backtesting your own automated trading strategies
Lightweight and extensible compatibility layer between dataframe libraries!
Lightweight and extensible compatibility layer between dataframe libraries!
Python package for mining stock and financial data, using data from open data sources like Yahoo Finance
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
动手实战人工智能系列教程，希望从监督学习开始，带你入门机器学习和深度学习。我尝试剖析和推导每一个基础算法的原理，将数学过程写出来，同时基于 Python 代码对公式进行实现，做到公式和代码的一一对应。与此同时，我也会利用主流的开源框架重复同样的过程，帮助读者看出手动实现和主流框架实现之间的区别。
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may ...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
10 Weeks, 20 Lessons, Data Science for All!
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
A Python script that anonymizes an Excel file and synthesizes new data in its place.
Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.