777 skills found · Page 15 of 26
dasanupam04 / Top 200 Passwords 2020 By Country Analysis ProjectThis research project provides a data-driven examination of password security vulnerabilities across multiple countries by analyzing the Top 200 Passwords of 2020. Using Python's robust analytical tools including Pandas for data processing and Matplotlib/Seaborn for visualization
ParmeetBhamrah / Air Quality India AnalysisExploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.
FarhaKousar1601 / GlobalCoreTech DataScience InternshipThis repository contains resources, code, and projects related to the Global Core Tech Internship on Data Science with Python. Explore the world of data science with Python, learn NumPy, Pandas, Matplotlib, and EDA, and work on exciting data science projects. Elevate your skills and knowledge in the field of data analysis and visualization.
Shivali-10 / Netflix Data AnalysisA Python project for visualizing and analyzing Netflix content data using pandas, matplotlib, and seaborn. The project explores trends, genres, content ratings, and country-wise statistics with insightful visualizations.
Zidhanth / Mental Health Care Analysis ReportThis project aims to perform a comprehensive Exploratory Data Analysis (EDA) on mental health care access data across the United States using Python libraries such as Pandas, Matplotlib, and Seaborn.
Swepz / LidarBasedGridMappingThis Python project demonstrates Occupancy Grid Mapping in robotics and autonomous navigation using real-world data from the Orebro dataset. It processes odometry and laser sensor readings to create an occupancy grid map. With Matplotlib visualizations, it simulates robot navigation and mapping in a 2D environment.
ragu8 / ESSENTIAL TOOLS FOR WORKING WITH DATAEssential Tools for Working with Data, it is meant to help Python users learn to use Python’s data science stack—libraries such as IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools—to effectively store, manipulate, and gain insight from data.
mpquant / Jupyter Notebook PythonJupyter中文版 jupyter notebook集成汉化版 本地一键安装傻瓜版 无需配置 集成python3绿色环境 预装pandas，matplotlib等常用库，比Anaconda更简单且高度集成 是更好的 python互动编程环境 python学习教育培训软件工具 人工智能和深度学习互动研究环境
O-imperador / Sleep Disorder AnalysisA complete end-to-end project analyzing a synthetic sleep and lifestyle dataset. The project includes data cleaning, exploratory data analysis (visualizations), feature engineering, and machine learning modeling to predict sleep disorders. Built using Python, Pandas, Seaborn, Matplotlib, and Scikit-learn.
Suhani810 / Candy Sales🚀 Just wrapped up a Python Data Analysis Project using a dataset on Candy Sales 📊🍬 In this project, I explored trends and patterns in candy sales data using Python libraries like Pandas, Matplotlib, and Seaborn. I cleaned and analyzed the data, visualized key metrics like product-wise sales, monthly trend to help optimize sales strategies.
Vadisalamanoj / Analyzing Real Time Air Quality Across Indian CitiesThis project focuses on analyzing real-time air quality data from various Indian cities and states using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. It aims to provide insights into the pollution levels, identify the most affected regions, and visualize pollutant trends.
nikorose87 / 2D Topo Opt Truss StructureAs an academic project, I developed a 2D topology optimization of a truss structure in python, the algorithm took and performed many examples available in the web. The topology optimization was done under the nested formulation, It means that the process is static. Many examples of this problem have been done, however, this is able to analyze structures of any size, and shows a nice visualization with VTK library and Matplotlib. I hope this work could be useful for you.
NITA-Shivam / Employee Performance Analysis Using Machine LearningData Analysis of Employees of different departments of any general firm using Machine Learning and predict the performance rating of different employees based on their information Data Loading, Analysis, pre-processing such as data wrangling, visualization, Model building, Model validation and Model deployment were the different steps involved in Project Here I have used the python programming tool and its different libraries such as >Numpy >Pandas >Matplotlib >Seaborn >Sklearn etc.
WindJammer6 / 7. NumPy Pandas Matplotlib Learning And Practice PythonMy learning journey of Python's Libraries NumPy, Pandas and Matplotlib
vincentbonnetcg-zz / Numerical Bric A BracNumerical Methods with Python, Numpy and Matplotlib
CAChemE / Curso Python DatosCurso de procesamiento y análisis de datos con Python (NumPy, matplotlib, SciPy, pandas...)
madamow / Pymoogipython wrapper for MOOG. All plots are handled with matplotlib.
keshavramaswamy / RecoProdContent based Recommender System which implements sentiment analysis(Naive Bayes,SVMs) on Amazon product reviews. Built in Python(Beautiful Soup,SciPy,NumPy,matplotlib),Java and RapidMiner
parthxparab / CPE 695 Applied MLPython, Jupyter Notebook, Sci-kit Learn, Tensorflow, Keras, Matplotlib, Seaborn, Pandas, Numpy, Scipy
FilipDominec / NihilnoviBrowse and compare scientific data files like you browse your photo gallery (and process them with Python+Matplotlib)
