Projects in Awesome Lists tagged with matplotlib-pyplot
A curated list of projects in awesome lists tagged with matplotlib-pyplot .
https://github.com/kemo321/heap
Heap implementation and comparison
comparison-benchmarks heap matplotlib-pyplot pytest
Last synced: 28 Feb 2025
https://github.com/arif-miad/obesity-classification-project
This project aims to predict obseity levels based on eating habits.
feature-engineering keras-tensorflow machine-learning matplotlib-pyplot pandas-dataframe seaborn sklearn
Last synced: 06 Sep 2025
https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
Last synced: 06 Jul 2025
https://github.com/mktechai-0786/data-analysis-on-dr-visits
Data Analysis On Dr. Visits dataset
data-analysis matplotlib-pyplot numpy pandas seaborn
Last synced: 20 Feb 2025
https://github.com/alepm1990/nba-analytics
Anรกlisis y trabajos en Python con BBDD deportivas
matplotlib-pyplot numpy pandas pyhon python3 seaborn
Last synced: 02 Apr 2025
https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
Last synced: 11 Mar 2025
https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics
decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm
Last synced: 13 Sep 2025
https://github.com/odessaz/portfolioprojects
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: 22 Feb 2025
https://github.com/jnrlouis/page-view-time-series-visualizer
Project Four (4) at the end of the Data Analysis with Python on FreeCodeCamp
matplotlib-pyplot pandas-dataframe seaborn
Last synced: 01 Mar 2025
https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
Last synced: 06 Sep 2025
https://github.com/jcm-ai/Standard-Bank-Data-Science-Virtual-Experience-Programme
This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. ๐๐จโ๐ป๐๐
automl business-analysis business-solutions client-communication data-analysis data-mining data-science data-visualization machine-learning machine-learning-algorithms matplotlib-pyplot model-evaluation model-interpretation power-point presentation-slides programming-language python3 seaborn sql statical-analysis
Last synced: 19 Aug 2025
https://github.com/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
Last synced: 02 Apr 2025
https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
Last synced: 21 Feb 2025
https://github.com/shwetapardhi/assignment-1-q21_b--basic-statistics-level-1
Q21b) Check Whether the Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set follows Normal Distribution Dataset: wc-at.csv
distplot matplotlib-pyplot mean median pandas python seaborn
Last synced: 27 Feb 2025
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out ฮผ,ฯ,ฯ^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
Last synced: 10 Jun 2025
https://github.com/avidhanr/heartdiseasepredictionwebapp
io matplotlib matplotlib-pyplot neural-networks pandas pip python seaborn sklearn streamlit
Last synced: 26 Mar 2025
https://github.com/vivprime/python-libraries
Analysing the IPL data using python libraries
matplotlib-pyplot pandas seaborn
Last synced: 02 Apr 2025
https://github.com/maheera421/dog-breed-prediction-model
Multi-class image classification, where the goal is to predict different breeds of dogs using deep learning.
boolean-array color-channel data-batch google-colab gpu ipython keras-tensorflow matplotlib-pyplot mobilenetv2 numpy-arrays os pandas-dataframe sklearn tensorflow2 tensorflowhub tensors
Last synced: 06 Sep 2025
https://github.com/nkosinathiz/financial-barriers-to-mobile-money
This project explores barriers to mobile money adoption in South Africa and selected Sub-Saharan African countries using World Bank Open Data. It analyzes 2024 datasets on financial access challenges, focusing on affordability and agent availability. The work includes data cleaning, statistical analysis, visualizations, and database integration.
jupyter-notebook matplotlib matplotlib-pyplot python python-3 seaborn streamlit
Last synced: 06 Sep 2025
https://github.com/esraaj-sarkar-gupta/cpu-temperature-monitor
A python script to measure and analyse a computer's CPU temperature. Application run using shell files. Built for Unicode based systems.
cpu-monitoring matplotlib-pyplot python3 shell-script
Last synced: 27 Mar 2025
https://github.com/arjunravi26/student-depression
ML Project to predict student depression
machine-learning matplotlib-pyplot python streamlit
Last synced: 13 Jun 2025
https://github.com/shreeparab1890/india-gdp-rate-1960-to-2021-data-analysis
This ipython notebook is the Exploratory data analysis (EDA) of the India GDP Rate 1960 to 2021.
analysis data-analysis eda exploratory-data-analysis ipython-notebook jyputer-notebook matplotlib matplotlib-pyplot pandas python
Last synced: 01 Mar 2025
https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
Last synced: 06 Sep 2025
https://github.com/dimamirana/finding-correlation-among-social-media-usage-depression-sleep
In our project we tried to analysis whether there is a link between depression and social media usage time
anaconda data-analysis jupiter-notebook matplotlib-pyplot patternlab python
Last synced: 02 Apr 2025
https://github.com/prakhr/pyalgebra-v
[PyPi Package] - performs integral and differentiable operations on string expressions using sympy
calculus linear-algebra markdown mathematica mathematical-programming mathematics maths matplotlib matplotlib-figures matplotlib-pyplot matplotlib-python matplotlib-tutorial sympy sympy-library
Last synced: 01 Mar 2025
https://github.com/prakhr/clickstream-data-visualization-on-raw-customer-dataset
contains streamlit app of the corresponding dataset
clickstream-data matplotlib matplotlib-pyplot numpy pandas-dataframe plotly plotly-python streamlit streamlit-application streamlit-webapp
Last synced: 01 Mar 2025
https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
feature-engineering hypothesis-testing matplotlib-pyplot numpy pandas-python scipy-stats seaborn
Last synced: 27 Feb 2025
https://github.com/abhinavkumar2369/matplotlib-programs
A ๐ collection of Python Matplotlib Program.
Last synced: 21 Feb 2025
https://github.com/moonshallow5/solar-system-simulation
A solar system simulation using the Beeman scheme and the Euler method
matplotlib-animation matplotlib-pyplot numpy
Last synced: 01 Mar 2025
https://github.com/kemo321/sorting
Sorting algorithms implementation and comparison
comparison-benchmarks matplotlib-pyplot sorting-algorithms-implemented
Last synced: 28 Feb 2025
https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
Last synced: 16 Mar 2025
https://github.com/ozcankyo28/ds-ml-bootcamp
๐ Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.
data-science datascience jose-portilla lgbm lgbmregressor machine-learning matplotlib-pyplot python regression-models scikit-learn seaborn tensorflow udemy-course-project udemy-machine-learning
Last synced: 07 Sep 2025
https://github.com/lingumd/pyber_analysis
Created summary DataFrame of ride-sharing data by city type using Python and multiple-line graph of weekly fares by city type using Pandas and Matplotlib.
groupby-method jupyterlab matplotlib-pyplot pandas-loc pandas-python pivot python resample
Last synced: 26 Jun 2025
https://github.com/lingumd/surfs_up
Analysis on temperature data for surf and ice cream shop using Python, Pandas, and SQLAlchemy.
jupyterlab matplotlib-pyplot pandas python sqlalchemy statistics summary-statistics
Last synced: 16 Mar 2025
https://github.com/wrighang/05_matplotlib-challenge
Module 5: Matplotlib
matplotlib-pyplot pandas pandas-dataframe python scipy-stats
Last synced: 16 Mar 2025
https://github.com/erolnebioglu/linear-regression
Pandas-Numpy-Matplotlib
linear-regression matplotlib-pyplot pandas regression
Last synced: 02 Mar 2025
https://github.com/bjpcjp/scikit-learn-v0.23
My Jupyter Lab notebooks on Scikit-Learn v0.23. Work in progress.
matplotlib-pyplot numpy python3 scikit-learn scipy
Last synced: 23 Feb 2025
https://github.com/yewomhango/drawgraph
Draws graphs using Python's matplotlib library
graph graphs matplotlib matplotlib-pyplot python
Last synced: 28 Feb 2025
https://github.com/xunchiasg/nyc_property_sales
Exploratory Data Analysis of rolling property sales data in NYC from March 2023-2025
matplotlib-pyplot plotly python scikit-learn
Last synced: 10 Apr 2025
https://github.com/davityak03/customer-churn-model-using-ann
ann elu keras leaky-relu matplotlib-pyplot numpy pandas prelu python seaborn
Last synced: 10 Sep 2025
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 01 Mar 2025
https://github.com/lmizner/codecademy_life_expectancy
Calculate quartiles, quantiles, and the inter-quartile range (IQR) for a variable
histogram jupyter-notebook matplotlib-pyplot numpy pandas python quantiles quartiles
Last synced: 02 Apr 2025
https://github.com/lmizner/codecademy_foodwheel
Testing Matplotlib data visualization skills with these challenge projects
bar-chart group-by histogram jupyter-notebook matplotlib-pyplot mean pandas pie-chart python standard-deviation
Last synced: 02 Apr 2025
https://github.com/lmizner/codecademy_marketing_data_anlaytics
Final project as a part of the Codecademy Data Science: Analytics career path
bar-chart boxplot count-plot data-cleaning exploratory-data-analysis for-loops heatmap histogram jupyter-notebook matplotlib-pyplot numpy pandas python regression-plot scatter-plot seaborn
Last synced: 02 Apr 2025
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 17 Jun 2025
https://github.com/lmizner/codecademy_constellations
Testing Matplotlib data visualization skills with these challenge projects
2d-data-visualization 3d-data-visualization axes3d jupyter-notebook matplotlib-pyplot python scatterplot
Last synced: 02 Apr 2025
https://github.com/adithaker/basic_nlp
๐จ Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
cosine-similarity datavisualization jupyter-notebook matplotlib-pyplot nlp numpy pandas python sentiment-analysis sklearn textsimilarity wordembeddings
Last synced: 01 Mar 2025
https://github.com/victor-gp/tfg-h16b
The code for my bachelor's thesis, a numerical exploration of the second part of Hilbert's 16th problem
bachelor-thesis dynamical-systems matplotlib-pyplot numpy odeint
Last synced: 12 Mar 2025
https://github.com/josewebdev2000/space-mission-data-analysis
Exploring space mission data and creating graphs in base of it.
csv data-analysis data-science data-visualization matplotlib matplotlib-figures matplotlib-pyplot pandas pandas-dataframe python
Last synced: 03 Jul 2025
https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
Last synced: 12 Mar 2025
https://github.com/steffin12-git/logistic-regression-social-network-ads-ml
Built an interpretable Logistic Regression model to predict whether a user will purchase a product from social network ads using demographic and behavioral features. The notebook demonstrates a complete ML workflow โ data ingestion, preprocessing, scaling, modeling, evaluation, and visual diagnostics.
matplotlib-pyplot pandas python seaborn sklearn statistics
Last synced: 07 Oct 2025
https://github.com/kostadinlambov/time-series-forecasting
This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
Last synced: 05 Oct 2025
https://github.com/lmizner/codecademy_airline_analysis
Using visualization to explore a dataset
histplot jupyter-notebook lmplot math matplotlib-pyplot numpy pandas python seaborn
Last synced: 05 Oct 2025
https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
Last synced: 05 Oct 2025
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/tanay-dwivedi/electoral-bonds-data-analysis
The project analyzes purchasing behavior of electoral bonds through data visualization to gain insights into trends, denominations, key purchasers, and seasonal patterns, facilitating strategic decision-making in electoral funding strategies.
dataanalysis electoral-bonds-data matplotlib-pyplot python seaborn visualization
Last synced: 06 Oct 2025
https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 07 Oct 2025
https://github.com/shrutiijoshi/airbnb-listing-reviews
Airbnb is an online marketplace that connects people who want to rent out their homes with travelers seeking accommodations.
data-analysis matplotlib-pyplot pandas-python python seaborn
Last synced: 07 Oct 2025
https://github.com/christabelsakyi/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib-pyplot numpy python seaborn sklearn
Last synced: 07 Oct 2025
https://github.com/sanjaiveeran44/shopping-intent-analasys
This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.
matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow
Last synced: 07 Oct 2025
https://github.com/fabulousthomas/linear-regression-visualization
Introduces a script to perform linear regression on housing data, including data preprocessing, visualization, model training, prediction, and evaluation. The script uses pandas, seaborn, matplotlib, and scikit-learn to analyze relationships and predict housing prices.
linear-regression matplotlib-pyplot pandas python seaborn sklearn
Last synced: 07 Oct 2025
https://github.com/steffin12-git/logistic-regression-daibetics
Built an interpretable Logistic Regression model to predict diabetes from clinical features; produced reproducible EDA, model validation, and visual diagnostics.
insights matplotlib-pyplot model-evaluation pandas python seaborn sklearn
Last synced: 07 Oct 2025
https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 07 Oct 2025
https://github.com/rebeccamorolong/mtn-customer-churn-prdiction
This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.
anova-test matplotlib-pyplot numpy pandas python seaborn
Last synced: 07 Oct 2025
https://github.com/shreenidhi7700/auto_price_prediction
We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.
decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression
Last synced: 07 Oct 2025
https://github.com/sulaimanniazi/image-power-transformer
A simple python application for performing power or inverse transform on an image
cv2 cv2-library image image-processing matplotlib matplotlib-figures matplotlib-pyplot matplotlib-python power-transform power-transformer power-transformers power-transforms python python-script python3 skimage
Last synced: 08 Oct 2025
https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
Last synced: 08 Oct 2025
https://github.com/avazasgarov/soccer-hypothesis-testing
Statistical analysis comparing goal-scoring patterns in Menโs vs. Womenโs FIFA World Cups using hypothesis testing.
data-analysis eda hypothesis-testing matplotlib-pyplot pandas pingouin python scipy
Last synced: 08 Oct 2025
https://github.com/manishkr1754/kpmg_au_data_analytics_consulting
Data Quality Assessment , Data Insights and Presentation
analytics data-cleaning data-exploration data-insights data-preparation-and-analysis data-quality-assessment matplotlib-pyplot powerbi powerbi-report python seaborn
Last synced: 08 Oct 2025
https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn
Last synced: 09 Oct 2025
https://github.com/amish5ingh/cricket-data-analytics-ipl
Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.
data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 09 Oct 2025
https://github.com/rachakondaganesh/using-nlp-online-and-retail-order-review-project
analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.
bivariate-analysis lambda matplotlib-pyplot nlp-machine-learning pandas sent-tokenize stemming stopwords trivariate-analysis unicode-data univariate-analysis word-tokenization
Last synced: 09 Oct 2025
https://github.com/0nom4d/308reedpipes
Mathematical EPITECH Project - This project computes a representation of a reedpipe.
coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy
Last synced: 10 Oct 2025
https://github.com/thekartikeyamishra/colorextractor
A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.
kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn
Last synced: 10 Oct 2025
https://github.com/armahdavi/qff-evalation_code-data-processing-statistics-plotting
Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779
data-science data-visualization histogram matplotlib matplotlib-pyplot numpy pandas python
Last synced: 11 Oct 2025
https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
matplotlib-pyplot numpy pandas python3 scipy-stats video-game
Last synced: 11 Oct 2025
https://github.com/mohammedrashithkp/drlforsnakegame
This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
deep-reinforcement-learning matplotlib-pyplot numpy pygame python
Last synced: 12 Oct 2025
https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
matplotlib-pyplot numpy pandas python
Last synced: 12 Oct 2025
https://github.com/jabulentee/a-b-testing-for-marketing-campaign
This repository contain project focused on evaluating the effectiveness of two different marketing strategies (Campaign A and Campaign B) to determine which one yielded better conversion rates.
ab-testing data-science hypothesis-testing matplotlib-pyplot pandas python scipy-stats ttest
Last synced: 12 Oct 2025
https://github.com/priyapuranik/diwali-sales-analysis_with-data-visualization
Diwali sales data analysis with visualizations, highlighting customer demographics, product categories, and purchase trends.
data-visualization matplotlib-pyplot pandas python seaborn
Last synced: 13 Oct 2025
https://github.com/tanay-dwivedi/weather-data-analysis
The project involves comprehensive analysis of a weather dataset to uncover trends, correlations, and insights, facilitating informed decision-making in various sectors reliant on meteorological data.
dataanalysis matplotlib-pyplot plotly python seaborn visualization weatherdata
Last synced: 13 Oct 2025
https://github.com/NishuMehta/Netflix-Trends-Data-Analysis
Analyzing Netflix content data to uncover trends in content type, ratings, genres, and time of release using Python, Tableau, and Excel.
excel jupyter-notebook matplotlib-pyplot python python3 tableau
Last synced: 14 Oct 2025
https://github.com/priyanxxhiiii/prodigy_ds_01
Task 1 of the Prodigy infotech Data science internship
data-science data-visualization eda exploratory-data-analysis internship internship-task matplotlib-pyplot prodigy-infotech seaborn world-population
Last synced: 14 Oct 2025
https://github.com/arnoldchrisoduor1/eda-google-play-store_dataset
Exploratory Analysis of the google play store dataset
jupyter-notebook matplotlib-pyplot pandas python3 seaborn
Last synced: 14 Oct 2025
https://github.com/vipulbunny/book-data-analysis
A Python-based data analysis project for cleaning, processing, and visualizing book data from a JSON dataset.
booksdataset data-science datacleaning json matplotlib matplotlib-pyplot pandas python seaborn visualization
Last synced: 15 Oct 2025
https://github.com/sudip-13/plant-disease-detection
Plant disease detection from leaf uses machine learning to identify diseases for early intervention
cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving
Last synced: 17 Oct 2025
https://github.com/tanay-dwivedi/india-census-data-analysis
This project involves analyzing demographic features and literacy rates across Indian districts using the comprehensive "India Census 2011" dataset to gain insights into socio-economic dynamics and inform targeted policy interventions.
census-data dataanalysis matplotlib-pyplot plotly-express python seaborn visualization
Last synced: 18 Oct 2025
https://github.com/damiieibikun/web-scrapping-and-python-data-visualization-on-top-500-movies-imdb
Web Scrapping and Python Data visualization on Top 500 movies IMDb
beautifulsoup4 data-analysis data-visualization matplotlib-pyplot numpy pandas plotly-express python requests seaborn web-scraping
Last synced: 18 Oct 2025
https://github.com/jbizzlefoshizzle/project-1
Shared repository example
beer-statistics jupyter-notebook matplotlib-pyplot
Last synced: 19 Oct 2025
https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
Last synced: 19 Oct 2025
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 23 Oct 2025
https://github.com/baguilar6174/data-analysis-cyclisticbike
This case study is about a fictitious company, Cyclistic. Where I will answer business questions, following the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share and Act.
dataanalytics divvy-bikes jupiter-notebook matplotlib-pyplot pandas python
Last synced: 24 Oct 2025
https://github.com/rcode879/diabetes-prediction-model
A mulitlayer perceptron model that can predict the risk of diabetes
ai deep-learning keras keras-tensorflow machine-learning matplotlib-pyplot neural-network pandas pima-indians-diabetes
Last synced: 24 Oct 2025
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
Last synced: 24 Oct 2025
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
Last synced: 25 Oct 2025
https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 26 Oct 2025
https://github.com/shakhthi/mlproject
This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.
jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
Last synced: 26 Oct 2025