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An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with matplotlib-pyplot

A curated list of projects in awesome lists tagged with matplotlib-pyplot .

https://github.com/badrhakim/flightpriceanalysis-

The uploaded file is a Jupyter Notebook titled "Flight Analysis". It likely involves analyzing flight-related data, potentially exploring trends, patterns, or insights using data science techniques. The analysis might include data visualization, statistical analysis, or predictive modeling.

business-analytics data data-analysis data-visualization datainsights datascience matplotlib-pyplot python seaborn seaborn-plots seaborn-python sns statistical-analysis

Last synced: 07 Mar 2025

https://github.com/priyapuranik/shoe-classification_using-cnn

A deep learning project that classifies different types of shoes using Convolutional Neural Networks (CNNs) based on image data.

cv2 deep-learning keras matplotlib-pyplot python tensorflow

Last synced: 30 Mar 2025

https://github.com/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 23 Mar 2025

https://github.com/mpolinowski/tstochastic-neighbor-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 23 Mar 2025

https://github.com/mpolinowski/multi-dimensional-scaling

Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.

matplotlib-pyplot multi-dimensional-scaling python scikit-learn

Last synced: 19 Aug 2025

https://github.com/jnrlouis/medical-data-visualiser

Visualization and calculations were made from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.

matplotlib-pyplot pandas-dataframe seaborn

Last synced: 01 Mar 2025

https://github.com/ntrllog/music-genre-visualization

Music classified by genre

matplotlib-pyplot music

Last synced: 15 Mar 2025

https://github.com/rodrigojunqueiradev/exploracao-e-limpeza-de-dados

Repositório utilizado para estudos de "Exploração e Limpeza de Dados" seguindo como guia o livro "Projetos de Ciência de Dados com Python"

data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3

Last synced: 27 Feb 2025

https://github.com/sumit0ubey/machine_learning

This repository showcases diverse machine learning projects, including: #Dimensional Reduction: Techniques for reducing feature space. #Ensembles: Methods like Gradient Boosting. #Supervised ML: Time series analysis and predictive modeling. #Unsupervised ML: Clustering and pattern discovery.

jupternotebook machine-learning matplotlib-pyplot pandas seaborn sklearn

Last synced: 07 Apr 2025

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 06 Mar 2025

https://github.com/vanshuchaudhary/flightpriceanalysis-

The uploaded file is a Jupyter Notebook titled "Flight Analysis". It likely involves analyzing flight-related data, potentially exploring trends, patterns, or insights using data science techniques. The analysis might include data visualization, statistical analysis, or predictive modeling.

business-analytics data data-analysis data-visualization datainsights datascience matplotlib-pyplot python seaborn seaborn-plots seaborn-python sns statistical-analysis

Last synced: 23 Mar 2025

https://github.com/odessaz/portfolio-projects

This is a repository I have created to showcase skills, share projects and track my progress in Data Analytics and Data Science

applied-mathematics data-analysis data-science excel jupyter-notebook matplotlib-pyplot pandas portfolio python r r-studio seaborn sql statistics

Last synced: 16 May 2025

https://github.com/fabriciocovalesci/sistema-vendas-graficos

Sistema simples de vendas e estoque, com gráficos usando Matplotlib

matplotlib matplotlib-pyplot numpy python-script python3 venv virtualenv

Last synced: 23 Mar 2025

https://github.com/hens-virtuella-varld/2d_data_on_3d_plot

A Python open source project visualizes 2D JSON data on 3D plot.

matplotlib matplotlib-pyplot python python-3 python3

Last synced: 31 Mar 2025

https://github.com/virajbhutada/netflix-data-analysis

Discover the dynamics of Netflix's content library through our data analysis project. Explore trends in movies vs. series distribution, genre preferences, top directors, and more. Inform strategic decisions and enhance user experience with valuable insights.

data-science data-visualization genre-classification jupiter-notebook machinelearning-python matplotlib-pyplot netflix netflix-data-analysis numpy pandas python seaborn

Last synced: 27 Feb 2025

https://github.com/pushtogithub23/projectilemotion-simulation

This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.

jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation

Last synced: 11 Apr 2025

https://github.com/matsjfunke/ufc-data-science

C<>de SE_42 Data Science Basics Project

matplotlib-pyplot pandas python seaborn-plots streamlit

Last synced: 15 Mar 2025

https://github.com/siddheshk599/student-management-system-python3

An easy to use Student Management System developed using Python to add, update, delete and view student's records. This software also gives an option to view the bar chart of the marks of students to get visual representation of the data.

beautifulsoup4 crud-application matplotlib-pyplot mysql python3 requests-module

Last synced: 24 Mar 2025

https://github.com/henriquesebastiao/computer-graphics-tests

Implementação e estudos de algoritmos de computação gráfica com Python

computer-graphics computer-science graph-algorithms matplotlib matplotlib-pyplot pandas

Last synced: 09 Mar 2025

https://github.com/hars310/calorie_prediction

This project uses machine learning Boosting technique XGB to predict the number of calories burnt based on various input features.

matplotlib-pyplot numpy pandas python scikit seaborn xgboost

Last synced: 02 Jul 2025

https://github.com/m-esmat/machine-learning

Machine Learning repository. Each project demonstrates the application of different algorithms and techniques to solve real-world problems.

linear-regression logistic-regression matplotlib-pyplot python random-forest scikit-learn scikitlearn-machine-learning seaborn visualization

Last synced: 12 Jul 2025

https://github.com/carol-neto/sprint-4-statistical-data-analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis

Last synced: 24 Mar 2025

https://github.com/diyaagarwal11/stock_analysis_eda

A data-driven stock market analysis project that explores single-stock performance, multi-stock comparisons, outlier detection, and data visualization. Using Python, Pandas, Matplotlib, and Seaborn, this project uncovers key financial insights and market trends.

matplotlib-pyplot python3 seaborn

Last synced: 09 Mar 2025

https://github.com/darkdk123/bulldozers-price-prediction

Utilizing bulldozer's auction sale price Dataset to predict the Price of Bulldozers!

data-science machine-learning matplotlib-pyplot pandas plotly python3 regression-models sklearn-library

Last synced: 19 Feb 2025

https://github.com/hamzakamelen/numerical-integration

Numerical Integration - Midpoint, Trapezoid, Simpson's 1/3 and Simpson 3/8 Rule using Python

matplotlib-pyplot midpoint-method numerical-analysis numerical-integration python scipy simpson-1-3 simpson-3-8 streamlit trapezoidal-method

Last synced: 20 Oct 2025

https://github.com/shwetapardhi/assignment-1-q20-basic-static-level--1

Q 20) Calculate probability from the given dataset for the below cases Data _set: Cars.csv Calculate the probability of MPG of Cars for the below cases. MPG <- Cars$MPG a. P(MPG>38) b. P(MPG<40) c. P (20<MPG<50)

matplotlib-pyplot mean median pandas python seaborn

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-1-q12--basic-statistics-level-1

Q12) Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56 Find mean, median, variance, standard deviation. What can we say about the student marks?

boxplot matplotlib-pyplot mean median nump pandas python seaborn standard-deviation variance

Last synced: 27 Feb 2025

https://github.com/shwetapardhi/assignment-1-q21_a-basic-statistics-level-1

Q 21) Check whether the data follows normal distribution a) Check whether the MPG of Cars follows Normal Distribution Dataset: Cars.csv

distplot matplotlib-pyplot mean median pandas python seaborn standard-deviation

Last synced: 27 Feb 2025

https://github.com/charlenry/python_math_ml

Les notebooks de ce dépôt sont mes notes de cours sur Python, NumPy et les Mathématiques pour le Machine Learning.

jupyter-notebook matplotlib-pyplot numpy plotly-express plotly-graph-objects python pytorch scipy-stats seaborn sklearn-datasets statistics sympy tensorflow time

Last synced: 06 Apr 2025

https://github.com/abhishek010397/tigerprediction-machinelearning

Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India

keras-tensorflow matplotlib-pyplot multiple-linear-regression numpy pandas python3 r2 sklearn

Last synced: 09 Apr 2025

https://github.com/iamkushvanth/marketing-campaign-analysis

Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.

ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics

Last synced: 08 Aug 2025

https://github.com/lmizner/codecademy_stack_overflow_survey

Tackling missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques

boxplot catplot jupyter-notebook matplotlib-pyplot pandas python seaborn sklearn

Last synced: 02 Apr 2025

https://github.com/lmizner/codecademy_biodiversity

Using knowledge of data analysis to interpret data about endangered animals for the National Park Service

barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn

Last synced: 24 Jun 2025

https://github.com/winterwind/housingpricesproject

A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way

csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn

Last synced: 11 Jun 2025

https://github.com/nordic96/lanedetection

Lane Detection Module using OpenCv and Python for educational purpose.

computer-vision lane-detection matplotlib-pyplot numpy opencv python3

Last synced: 11 Jun 2025

https://github.com/saravana1606/voting-system

With our voting system, every voter is guaranteed an accessible and secure voting method, This program allows the user to login and vote. Each voter have their own username and password. The admins can conduct elections, authenticate voters and display results in a graphical representation

colorama matplotlib-pyplot pip python pyttsx3 sql sqllite3

Last synced: 27 Feb 2025

https://github.com/niteshchawla/aerofit-casestudy

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 27 Feb 2025

https://github.com/as1467/canada-per-capita-income-prediction

This project is a simple machine learning exercise to predict Canada's per capita income based on historical data. The dataset used in this project was sourced from the CodeBasics GitHub repository and is used here to practice linear regression as part of my machine learning learning process.

machine-learning matplotlib-pyplot pandas python scikit-learn

Last synced: 01 Apr 2025

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 10 Mar 2025

https://github.com/corey-richardson/archery-linear-regression

A Flask web application that allows the user to view and add scores to a dataframe, and uses these values in a linear regression model to estimate their average arrow score at different distances.

css csv flask html matplotlib-pyplot python3

Last synced: 30 Mar 2025

https://github.com/darrendavy12/kafka-pyspark-e-commerce-store-real-time-streaming-dashboard

This project demonstrates an end-to-end real-time streaming analytics pipeline, designed to process high-clicked data and display insights on a live dashboard.

kafka matplotlib-pyplot python real-time sqllite streamlit

Last synced: 04 Sep 2025

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 16 Mar 2025

https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-

in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science

cleaning-data data data-science data-visualization dataframe datapreprocessing dataset libraries matplotlib-pyplot numpy pandas plots python visualization

Last synced: 28 Feb 2025

https://github.com/ddeepanshu-997/datascience--olympics-games

in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.

data-science exploratory-data-analysis insights matplotlib-pyplot numpy pandas-dataframe problem-solving python visualization

Last synced: 28 Feb 2025

https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai

This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.

autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder

Last synced: 26 Jun 2025

https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 06 Apr 2025

https://github.com/abhishekyadav915/e-commerce-sales-analysis

E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.

matplotlib-pyplot numpy pandas-library plotly python3

Last synced: 03 Jul 2025

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 28 Feb 2025

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 11 Jul 2025

https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 28 Feb 2025

https://github.com/tashi-2004/deep-learning-grid-world-q-learning

Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!

agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training

Last synced: 25 Mar 2025

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 10 Sep 2025

https://github.com/tanay-dwivedi/economic-data-analysis

The project aims to analyze and visualize economic indicators, including the S&P 500 index and unemployment rates across U.S. states, using data retrieved from the FRED API.

dataanalysis fred-api matplotlib-pyplot python vsualization

Last synced: 12 Jun 2025

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 01 Apr 2025

https://github.com/winterwind/pca_project

A short two-part project that uses PCA (along with GMM in task 2); first with the fashion-NMIST dataset and then with fetch_lfw_people

data-science eigenfaces fashion-mnist fashion-mnist-dataset gaussian-mixture-models gmm jupyter-notebook machine-learning matplotlib matplotlib-pyplot pca pyplot python sklearn

Last synced: 01 Apr 2025

https://github.com/incheonq/imgcolordetection3d

detect unique colors from an image and express it in 3D

kmeans-clustering matplotlib-pyplot python rgb2hex silhouette-score sklearn

Last synced: 12 Jun 2025

https://github.com/djdurga/heart-disease-analysis

Health is real wealth in the pandemic time we all realized the brute effects of COVID-19 on all irrespective of status. We are required to analyze this health and medical data for better future preparation.

heart-disease machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot pandas python random-forest

Last synced: 04 Sep 2025

https://github.com/phenomsg/grandmaster-grapher

A dynamic tool designed to scrape live world rankings and metrics of the top 10 chess players

beautifulsoup4 csv jupyter-notebook matplotlib-pyplot python3 requests

Last synced: 19 Feb 2025

https://github.com/hungryvovka/simple-square-plot

Simple matplotlib squre numbers scatter.

matplotlib-pyplot square-plot

Last synced: 03 Aug 2025

https://github.com/jcm-ai/quantium-data-analytics-virtual-experience-program

This repository contains all about the proposed solutions to the assignments that I was required to complete as part of the Quantium Data Analytics Virtual Experience Program. 📊📈📉👨‍💻

commercial-thinking communication-skills data-analysis data-validation data-visualisation data-wrangling jupyter-notebook matplotlib-pyplot numpy-library pandas-python presentation-skills programming python3 scipy-stats seaborn statistical-testing

Last synced: 26 Feb 2025

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 26 Mar 2025

https://github.com/arnoldchrisoduor1/eda-udemy-dataset

Exploratory Data Analysis of the Udemy Courses Data Set.

jupyter-notebook matplotlib-pyplot pandas python3 seaborn

Last synced: 04 Sep 2025

https://github.com/chengetanaim/smokers-health-analysis

During this mini project I was looking for the impact of smoking on various health factors.

dataanalysis matplotlib-pyplot pandas

Last synced: 09 Apr 2025

https://github.com/anshpg/exploration-in-image-processing-digit-image-generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas

Last synced: 12 Jun 2025

https://github.com/niteshchawla/nc-walmart-casestudy

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.

central-limit-theorem confidence-intervals matplotlib-pyplot numpy pandas python scipy-stats seaborn stats

Last synced: 18 Jun 2025

https://github.com/lakshaybhushan/pns-coding-assignment

Solving questions given in "Programming Questions.pdf" using python's matplotlib and jupyter notebooks

ipynb juypter-notebook matplotlib-pyplot numpy python

Last synced: 09 Apr 2025

https://github.com/parkerglas12/car-loan-calculator

This application is a car loan calculator written in Python. It uses Pandas to store data and perform efficient operations, Matplotlib for additional visualizations, and Streamlit to provide an interactive user interface.

finance finance-tool matplotlib-pyplot pandas python streamlit streamlit-webapp

Last synced: 31 Mar 2025

https://github.com/nixoletas/numpy-training

Data Science training and real projects

jupyter-notebook matplotlib matplotlib-pyplot numpy pandas

Last synced: 03 Apr 2025

https://github.com/chandkund/iris-classification

Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.

machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 07 Apr 2025

https://github.com/badranalyst/restaurant-reviews-sentiment-analysis-nlp-case-study

This project analyzes restaurant reviews using Natural Language Processing (NLP) for sentiment analysis. It covers data exploration, pre-processing (NLTK text cleaning), model building, prediction, and deployment. The goal is to predict sentiment from reviews using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn

Last synced: 20 Feb 2025

https://github.com/linsanity03/particle-in-potential-well

Visualizing the Wavefunction and Probability density of a Particle in a 1D Infinite Potential Well

jupyter-notebook matplotlib-pyplot numpy probability-density schrodinger-equation wavefunction-visualisation

Last synced: 20 Feb 2025

https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance

This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.

data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series

Last synced: 20 Feb 2025

https://github.com/badranalyst/udemy-course-data-analysis-with-pandas-and-visualization-libraries

Explores Udemy course data using NumPy and Pandas for data manipulation. Provides insights into course topics, ratings, and pricing with visualizations created using Matplotlib, Seaborn, and Plotly.

data-science dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn

Last synced: 20 Feb 2025

https://github.com/akshaiprasanth/analysis-of-uber-data

By analyzing this data, Uber can gain insights into how to improve its services, optimize its operations, and make informed business decisions.

jupyter-notebook matplotlib-pyplot numpy pandas-dataframe python seaborn

Last synced: 20 Feb 2025

https://github.com/akshaiprasanth/akshaiprasanth-analysis-of-top-movies-in-netflix-amazon-disney-and-hulu-

Analysing movies on streaming platforms such as Netflix, Prime Video, Disney, and Hulu involves evaluating various aspects of the films to understand their content, quality, and popularity

jupyter-notebook matplotlib-figures matplotlib-pyplot numpy pandas pandas-dataframe python seaborn

Last synced: 20 Feb 2025

https://github.com/hms75/movie_rating_analysis

A movie rating analysis which identifies trends amongst a dataset of 5000 movies.

data-analysis data-visualization matplotlib-pyplot numpy pandas python

Last synced: 09 Apr 2025

https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office

Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.

data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python

Last synced: 20 Feb 2025

https://github.com/tushar365/titanic---machine-learning-from-disaster

"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.

data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn

Last synced: 25 Mar 2025

https://github.com/sakshijain009/minor-project-ml-in-python

Exploratory Data analysis on data using python

matplotlib-pyplot ml numpy pandas python seaborn

Last synced: 13 Jun 2025