Explore something new

program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!

Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge

Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wireline logs petrophysical dataset using - Pandas, Numpy, Matplotlib, Plotly & seaborn libraries Discovered insights of wireline logs quality & interpretation (missing data and imbalance class

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

This repository contains tutorials about important python libraries: pandas, numpy, matplotlib, seaborn, plotly, cufflinks, BeautifulSoup, DateTime.

The Nobel Prize is an international award administered by the Nobel Foundation in Stockholm. I have explored it using numpy, pandas, matplotlib.pyplot, seaborn, dash and plotly

[Python | NumPy | Pandas | Matplotlib | Seaborn | Plotly | TensorFlow | Keras Tuner | Scikit-learn | Streamlit | Heroku] Data science and machine learning project with online dashboard. It detects a possible brain tumor from an MRI scan.

Learn requests, numpy, pandas, matplotlib, seaborn, plotly, cufflinks, scikit-learn, tensorflow and much more!

Master Python Data Analysis: Pandas, NumPy, Matplotlib, Plotly & Real-World Projects

An introduction to data processing & visualization with numpy, pandas, matplotlib, and plotly express

A guided project implemented using libraries like numpy, pandas, matplotlib, seaborn and plotly

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

comprehensive guide to mastering data analysis using Python’s core libraries: NumPy, Pandas, and Data Visualization tools such as Matplotlib, Seaborn, and Plotly.

Sustainalytics uses RoBERTa model for sentiment analysis on S&P 500 companies' ESG news headlines. Linear regression generates reputation graph. Offers insights for investment decisions and sustainability efforts. Implements Python, Numpy, Pandas, Seaborn, Matplotlib, Transformers, PyTorch, and Plotly libraries.

These notebooks are my data science portfolio in Python programming language. These notebooks utilize data science libraries such as Pandas, NumPy, and scikit-learn. In addition, these notebooks also include the utilization of data visualization libraries such as seaborn, matplotlib, plotly, and many more.

本项目是一个基于物联网的校园能耗监控系统，支持对水、电、气等能源的实时采集、传输与可视化分析。硬件端以 ESP32 为核心，接入水流量传感器、电流传感器和气体流量传感器，通过 WiFi 与后端进行 MQTT 通信。后端采用 FastAPI 框架，结合 PyMySQL 与 MySQL 数据库完成数据存储与查询，并利用 pandas 与 numpy 进行处理分析，同时引入 Prophet 模型实现能耗预测。前端通过 matplotlib 与 plotly 展示实时与历史能耗数据，支持趋势对比与预测结果可视化。系统架构轻量且扩展性强，可应用于校园、企业及公共建筑的能耗管理场景，为节能减排和智慧校园建设提供技术支撑。

本项目是一个基于物联网的校园能耗监控系统，支持对水、电、气等能源的实时采集、传输与可视化分析。硬件端以 ESP32 为核心，接入水流量传感器、电流传感器和气体流量传感器，通过 WiFi 与后端进行 MQTT 通信。后端采用 FastAPI 框架，结合 PyMySQL 与 MySQL 数据库完成数据存储与查询，并利用 pandas 与 numpy 进行处理分析，同时引入 Prophet 模型实现能耗预测。前端通过 matplotlib 与 plotly 展示实时与历史能耗数据，支持趋势对比与预测结果可视化。系统架构轻量且扩展性强，可应用于校园、企业及公共建筑的能耗管理场景，为节能减排和智慧校园建设提供技术支撑。

End-To-End 6D Object Pose Estimation in Crowded Scenes The solution to the OPE using the CLUBs dataset and the python proramming language for the artifficial intelligence and machine learning. Python have strong libraries for these disciplines mentioned. To name a few, the Tensorflow is used for extensive research into machine learning and artifficial intelligence. It is one of the strong libraries in python for these purpose. In this project, Tensorflow usage will be determining the different kind of images and their appearances. This is one of the strong grip in the newural network for classification of objects in 6D. Another library useful in the pandas. This is a very useful in reading of datasets, making data wrangling and regression and analysis. Numpy does the supportive to this training and testing of data. Matplotlib and plotly are major python librarioes for plotting of the analyzed data, for presentation and either simulation. Last but least is the use of the OpenCV, a powerful python library used for image detection and recognition. In this project, these python libraries will be highly used in the object pose estimation. The CLUBS being the dataset used, for classification, segmentation and detection, any crowded objects will be analyzed usin the above libraries to accomplish the targeted goals and the two possible solutions: End-to-end direct pose regression usin deep learning, that is Efficient Pose, DPOD and,Network with multiple parts that first extracts features. The Scaling of the 2D ojects in bounding boxes and pixel-wise labels in the RGB images. With the data containing approximately 85 objects and 25 box scenes, different box scenes have different configurations of objects in them vary. The RealSense cameras , callibrations of two different files provided , one containing higher-resolution depth and the other with lower resolution depth. The best approach in working in the project is using an hybrid of the already existing approaches, technics and that can lead to developiong a totally a new approach too. This is analysing the existing methodologies and finding their weaknesses and find the best solution from it.

Curso Python - com Numpy, Pandas, Matplotlib e Plotly

python tutorial for Machine Learning covering the concepts of Core Frameworks numpy, pandas, MatplotLib, Seaborn,Plotly and Cufflinks, Geographical Plotting and then the Machine Learning

Hands-on Excel and Python examples (NumPy, Pandas, Matplotlib, Seaborn, Plotly) for data analysis & visualization.

This repository contains projects on Data Analysis & Visualization using Numpy, Pandas, Matplotlib, Seaborn, Plotly and Cufflinks.

basic Machine Learning Algorithms and make applications with sci-kit learn, numpy, pandas, matplotlib, plotly, seaborn libraries.

Statistical reports of HR Employee data. Representation of these reports in python using libraries : Numpy, Pandas, Matplotlib, Seaborn and Plotly.

Pet projects demonstrating data wrangling, visualisation and analytical skills in python using libraries like pandas, matplotlib, numpy, scipy, seaborn and plotly.

Consumindo a API aberta Datajud, acessei 10000 casos recentes do Tribunal de Justiça do Estado do Rio de Janeiro, incluí-os em um DataFrame da biblioteca Pandas, e a partir deste extraí visualizações para diversos parâmetros, utilizando as bibliotecas MatPlotLib, Seaborn, Plotly, NumPy e Folium.

This is an introductory notebook about practice of Exploratory Data Analysis with several examples using some libraries like numpy, pandas, matplotlib, seaborn, plotly and others.

This project analyzes hotel reservation cancellations using NumPy and Pandas for data cleaning, preprocessing and Matplotlib, Seaborn, and Plotly for visualizations 📊 📈. Through comprehensive analysis,it uncovers trends to optimize booking strategies.

Project for IBM Data Visualization in Python for Data Science. Creating a Dash interactive dashboard using Python Pandas, NumPy, Matplotlib (Plotly), Folium, Seaborn. Loading Airline Performance/Delay Reports with over 10 Million Data Points over the years 2005-2020.