Trending repositories for topic pandas
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 ...
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python Data Science Handbook: full text in Jupyter Notebooks
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.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Lightweight and extensible compatibility layer between dataframe libraries!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
A light-weight, flexible, and expressive statistical data testing library
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Entity Matching Model solves the problem of matching company names between two possibly very large datasets.
Start developing and backtesting your own automated trading strategies
Lightweight and extensible compatibility layer between dataframe libraries!
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
Python binding for Rust's library for reading excel and odf file - calamine.
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
This repository consists of all my Machine Learning Projects.
A light-weight, flexible, and expressive statistical data testing library
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python Data Science Handbook: full text in Jupyter Notebooks
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Lightweight and extensible compatibility layer between dataframe libraries!
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
A light-weight, flexible, and expressive statistical data testing library
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Start developing and backtesting your own automated trading strategies
Entity Matching Model solves the problem of matching company names between two possibly very large datasets.
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.
Lightweight and extensible compatibility layer between dataframe libraries!
Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
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
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
A YouTube analytics tool for trend, sentiment, and suitability insights.
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,...
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
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。
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
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.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
Lightweight and extensible compatibility layer between dataframe libraries!
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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.
Start developing and backtesting your own automated trading strategies
Lightweight and extensible compatibility layer between dataframe libraries!
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...
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Entity Matching Model solves the problem of matching company names between two possibly very large datasets.
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
This repository was created to showcase my analytical and technical skills (Excel, Python, SQL, Power BI, PowerPoint, and others).
Compare DuckDB, Polars and Pandas for generating an artificial dataset of persons and companies
Buckaroo - the data wrangling assistant for pandas. Quickly explore dataframes, and run pandas commands via a GUI. Works inside the jupyter notebook.
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
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.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Enriches the Pydantic BaseModel class by adding the ability to validate dataframes using the schema and custom validators of the same BaseModel class.
Lightweight and extensible compatibility layer between dataframe libraries!
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
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
Start developing and backtesting your own automated trading strategies
A Python script that anonymizes an Excel file and synthesizes new data in its place.
ML-algorithms from scratch using Python. Classic Machine Learning course.
7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamental...
This repository contains Python code for visualizing the Bank Marketing dataset using various data visualization techniques. The dataset is loaded from a CSV file, and both numerical and categorical f...
A YouTube analytics tool for trend, sentiment, and suitability insights.
🟣 Pandas interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
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!
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python Data Science Handbook: full text in Jupyter Notebooks
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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 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,...
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.
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
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.
Python binding for Rust's library for reading excel and odf file - calamine.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
7 Day AI ML Fundamentals Workshop The purpose of this FREE workshop is 1. To give you a boost of getting started with AI. 2. A life-long community with a similar mindset. 3. strong grip on fundamental...
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
🇵🇸 PalTaqdeer is an AI-Driven Student Success Forecaster. Was developed for Hackathon Google Launchpad, data analysis techniques, Linear regression model, and Flask for the web 🇵🇸
Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets ...
Contenido y material practico de cada clase.
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Explore the world of Python programming with 'Complete Python Mastery'! Our repository, led by Pankaj, offers a series of in-depth tutorials under the banner 'Codes with Pankaj.' Dive into hands-on co...