795 skills found · Page 9 of 27
fannykassapian / Metro Traffic Data AnalysisData cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).
Gekko12 / Python NotebooksJupyter notebooks for LeetCode problems, Python library notes (NumPy, Pandas, Matplotlib) and DSA concepts.
henjin0 / LIDAR LD06 Python LoaderThis code can use Lidar's LD06 (LDS06) provided by LDROBOT from python. and It displays the acquired point cloud in real time in matplotlib.
DIGVISHRAYALA / SUBDIVISION RAINFALLThis repository contains a Jupyter Notebook developed as part of the CA-2 project. It focuses on data analysis using Python with libraries like Pandas, NumPy, Matplotlib, and others. The project demonstrates data loading, preprocessing, exploration, and visualization techniques suitable for academic submissions or real-world data insights.
qxresearch / Simple Harmonic MotionPlotting Simple Harmonic Motion Graphs and animations using Python (Matplotlib | Numpy | Scipy) 🌌
liviajakob / Hydrological ModelImplementation of the D8 algorithm, a lake identification and flow algorithm with python and matplotlib
mneumann / Matplotlib RsUses rust-cpython to provide a convenient interface to Python's matplotlib from Rust
ashishpal17 / Electric Vehicles EVs Energy Consumption EstimationPredicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: numpy, pandas, matplotlib, seaborn
elide-b / StarbarsThis Python tool helps visualizing statistical significance on existing Matplotlib plots by adding significance bars and p-value labels between chosen pairs of columns.
Jeetjha-07 / Exploratory Data Analysis For Adidas Sales Data Analysis Using PythonA Python-based EDA project on the Adidas US Sales Dataset. It visualizes sales trends by region, product, and retailer using Pandas, Matplotlib, and Seaborn, offering insights through both automatic and interactive modes.
meta4 / MplcalCreate a standard calendar view from python using matplotlib
blairg23 / Bak Tang Wiesenfeld Sandpile ModelBak Tang Wiesenfeld Model or Abelian Sandpile Model, written in Python using the Matplotlib module
juliendelplanque / MatplotLibBridgeA bridge to provide the ability to Pharo user to use Python's Matplotlib.
Yash-Kavaiya / Data Analytics With Python NptelRepository for the NPTEL course 'Data Analytics with Python'. Includes code examples, notebooks, and exercises covering data manipulation, visualization, statistics, and machine learning with Python libraries like NumPy, Pandas, and Matplotlib.
PhilipYip1988 / Python NotebooksData-science tutorials covering Python, Object-Orientated Programming Python standard libraries such as collections, itertools, math, statistics, random and datetime. The tutorials also cover the data-science libraries such as numpy, pandas, matplotlib and seaborn as well as the conda ecosystem.
0PeterAdel / Data DyanamosIgniting Innovation Through the Power of Data
AkankshaUtreja / Diabetic Patients Readmission PredictionDiabetes is a medical condition that is caused due to insufficient production and secretion of insulin from the pancreas in case of Type-1 diabetes and defective response of insulin Type-2 diabetes. Diabetes is one of the most prevalent medical conditions in people today Hospital readmission for diabetic patients is a major concern in the United States. Over $250 million dollars was spent on treatment of readmitted diabetic inpatients in 2011 alone. Diabetes is chronic and does not have any specific cure. Objective:- Hospital readmission rates for certain conditions are now considered an indicator of hospital quality, and also affect the cost of care adversely. Hospital readmissions of diabetic patients are expensive as hospitals face penalties if their readmission rate is higher than expected and reflects the inadequacies in health care system. For these reasons, it is important for the hospitals to improve focus on reducing readmission rates. Identify the key factors that influence readmission for diabetes and to predict the probability of patient readmission. Approach:- The dataset chosen is that available on the UCI website which contains the patient data for the past 10 years for 130 hospitals. The code has been written in Python using different libraries like scikit-learn, seaborn, matplotlib etc. Different machine learning techniques for classification and regression like Logistic regression, Random forest etc have been used to achieve the objective. Keywords: Machine Learning, Python, scikit-learn, EDA, Healthcare
ShaShiDiZhuanLan / Demo Matplotlib Pythonpython3绘制折线图、柱形图、饼图、三维散点图、散点图
yuanshun9606 / MeteorologicalPy基于python\numpy\pandas\xarray\matplotlib\cartopy\metpy的气象数据处理、程序设计及绘图
luangrezende / Neural Network Circuit GameNeuroevolution simulation where AI-controlled cars learn to drive a custom circuit using a genetic algorithm (no backpropagation). Built with Python, NumPy and Matplotlib, includes a real-time visualizer and an interactive track editor.
