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Projects in Awesome Lists tagged with matplotlib-pyplot

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

https://github.com/mahnoorsheikh16/sketchify-a-quick-draw-drawing-classifier

Implementation of a sketch‐recognition pipeline inspired by Google’s Quick, Draw!—from raw stroke data to prediction. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN model.

bayesian-classifier drawing-classification feature-engineering gaussian-naive-bayes google-quick-draw kfold-cross-validation knn-classification linear-discriminant-analysis-lda logistic-regression matplotlib-pyplot multivariate-gaussian-distribution parzen-window pca-analysis rnn-pytorch seaborn-plots sequential-forward-selection spherical-gaussian-kernel svm-classifier tsne-visualization xgboost-classifier

Last synced: 13 Aug 2025

https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 04 May 2026

https://github.com/kshitijshrivastava1903/classifying-cancer-tumour-data-as-malignant-or-benign-using-pca-and-logistic-regression

Built a 97% accurate logistic regression model on breat cancer dataset by reducing the dimensions of the data using Pricipal Component Analysis and applying logistic regression on the reduced 2 principal components, to accurately classify data. Used numpy, pandas, matplotlib, PCA, and scikit-learn.

logistic-regression machine-learning-algorithms matplotlib-pyplot principal-component-analysis

Last synced: 24 Jul 2025

https://github.com/bytraembedded/Laptop-Price-Prediction-with-Machine-Learning

The Laptop Price Prediction with Machine Learning project provides a system to predict the price of laptops based on various features such as processor type, RAM size, storage capacity, and more/

airflow data data-science data-visualization fastapi heroku-deployment machine-learning-algorithms matplotlib-pyplot numpy pandas python reactjs seaborn

Last synced: 30 Dec 2025

https://github.com/simranjeet97/quotes-analysis

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application

Last synced: 15 Apr 2026

https://github.com/shreeparab1890/flipkart-laptops-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.

data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 14 Apr 2026

https://github.com/mpolinowski/isometric-mapping

Non-linear dimensionality reduction through Isometric Mapping

isomap matplotlib-pyplot python scikit-learn

Last synced: 06 May 2026

https://github.com/jabhij/eda_experiments

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis

Last synced: 14 Apr 2026

https://github.com/subhadipsinha722133/bitcoin-price-prediction-web-app

A Streamlit-based web application for predicting Bitcoin price movements using machine learning models

data-visualization machine-learning-algorithms matplotlib-pyplot sklearn-library

Last synced: 09 Oct 2025

https://github.com/camilajaviera91/chile-covid-mortality-2020-2024

This project focuses on analyzing COVID-19 mortality data in Chile from 2020 to 2024. With at least 60,000 records, the dataset provides critical insights into the impact of the pandemic on the population.

google google-oauth2 googleapiclient googlesheets matplotlib-pyplot pandas postgresql python warnings

Last synced: 11 Apr 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/moindalvs/hypothesis_testing_2

A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.

anova anova-test fstatistics hypothesis-test hypothesis-testing matplotlib-pyplot numpy-library pandas-library scipy-stats seaborn-plots

Last synced: 27 Oct 2025

https://github.com/moindalvs/learn_visualization_on_matplotlib

Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!

barchart bivariate-analysis boxplot horizontal-bar-charts matplotlib matplotlib-pyplot matplotlib-python matplotlib-tutorial piechart subplots univariate-analysis

Last synced: 11 Mar 2025

https://github.com/camilajaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler

Last synced: 28 Apr 2026

https://github.com/bredalis/matplotlib

📊 Library to create graphs in Python 📊

data graphics librery matplotlib matplotlib-pyplot python

Last synced: 30 Mar 2025

https://github.com/mchenryspagg/prosper-loan-project

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

datastorytelling exploratory-data-analysis exploratory-data-visualizations jupyter-notebook matplotlib-pyplot numpy pandas python seaborn-plots

Last synced: 13 Apr 2026

https://github.com/aryanbalaji/timeanalysis

Conducted in-depth time series analysis on stock market data for major tech companies like Amazon, Google, Apple, and Microsoft. Utilized multivariable analysis to explore the inter-relationship between stock closing prices and daily % return, visualized findings using Seaborn library, and performed value at risk calculations for each company.

glob matplotlib-pyplot numpy-python pairgrid pandas-dataframe plotly-python resampling rolling seaborn-heatmaps seaborn-pairplot

Last synced: 16 Mar 2025

https://github.com/abhishekkr/mfl

Market Forecast Learning | to learn to forecast market

arima arima-forecasting matplotlib-pyplot pandas-dataframe python

Last synced: 14 Jun 2025

https://github.com/aryanbalaji/geospatialanalysis

Conducted an extensive geospatial analysis on Zomato's customer data, utilizing GIS tools like Folium and Plotly to map customer density, restaurant locations. Conducted cluster analysis providing actionable insights for optimizing restaurant marketing

crosstab folium-maps freqdist heatmap-visualization matplotlib-pyplot numpy-python pandas-dataframe regexp stopwords tokenizer

Last synced: 12 Aug 2025

https://github.com/camilajaviera91/dag-first-approach

This project automates the extraction, transformation, and export of sales data from a PostgreSQL database, enhances the data with exchange rate information, and exports the results in CSV and Google Sheets formats. It uses a Directed Acyclic Graph (DAG) to manage task dependencies and execute them in order.

airflow dag dotenv faker googlesheets gspread gspread-dataframe matplotlib-pyplot network oauth2 os pandas postgresql psycopg2 python random requests sql

Last synced: 13 Apr 2026

https://github.com/imswappy/ads-eda-predictor

Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.

adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn

Last synced: 02 May 2026

https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split

Last synced: 10 Apr 2026

https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations

This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.

dataanalysisusingsql datavisualization matplotlib-pyplot mysql mysql-database mysqlconnector numpy pandas python salesanalysis seaborn sql

Last synced: 07 Jan 2026

https://github.com/haikokrais/twoplotswidget

Simple Kivy Widget showing two Matplotlib datetime plots with a shared x-axis

humidity kivy-widget matplotlib-pyplot python temperature

Last synced: 22 Feb 2026

https://github.com/ansh2709/dl-project

Project basically predicts the digit from(0-9) after training on a particular dataset using CNN

cnn-classification confusion-matrix deep-learning keras-tensorflow matplotlib-pyplot pyton supervised-learning

Last synced: 27 Mar 2025

https://github.com/sefakcmn00/tensorflow_car_price_analysis

In this project, after extracting the data sets as csv, we tried to represent the car prices graphically and schematically by using data analysis and data visualization methods. We checked the connection of the car prices we analyzed with other data, then we created a 4-layer and 12-neuron system.

data datatrain keras machine-learning matplotlib-pyplot pandas seaborn sklearn tensorflow

Last synced: 14 Apr 2026

https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: 22 Apr 2025

https://github.com/darkrai-404/snoopy_simulation

A Python-based behavioral simulation that models the interactions between dogs, humans, squirrels, toys, and food in a virtual environment. The simulation accounts for seasonal changes and tracks various aspects of dog behavior. The program outputs various analytics to help examine behavioral trends.

matplotlib-pyplot python3 simulation simulation-modeling

Last synced: 11 Jul 2025

https://github.com/403errors/offset-to-hydrostatic-curve

Group project for making hydrostatic curves from the given ship offset table using python libraries

data-visualization matplotlib-pyplot numpy python3 sklearn

Last synced: 10 May 2026

https://github.com/gianlucatruda/pca-vis

Real-time tool for exploring the relationships between PCA components and input features

data-science dimensionality-reduction interactive matplotlib-pyplot pca principal-component-analysis principal-components pygame sklearn

Last synced: 29 Apr 2026

https://github.com/sreejabethu/sales-data-analysis-forecasting

Welcome to the Sales Data Analysis & Forecasting project! 🚀 This repository showcases my data analysis skills through exploratory data analysis (EDA), data cleaning, and visualization of sales and customer feedback data. The goal is to extract actionable insights to drive business decisions.

analysis barchart data-visualization datacleaning exploratory-data-analysis forecasting histogram matplotlib-pyplot numpy-library pandas-library pycharm-ide sales-analysis salesdata salesdataanalysis seaborn-plots transformation

Last synced: 19 May 2026

https://github.com/alessandrosocc/machine-learning-project-2022

Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

imblearn machine-learning matplotlib-pyplot oversampling pandas scikit-learn spambase-dataset undersampling

Last synced: 18 Jan 2026

https://github.com/datarohit/car-evaluation--classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn

Last synced: 28 Apr 2026

https://github.com/bhushan148/smartphone-market-insights-analysis-project

The "Smartphone Market Insights Analysis" project dives into the smartphone market trends and patterns using SQL and Python. 🔍 It evaluates key aspects such as price distribution 💸, user ratings ⭐, and features like processor type ⚙️ and memory card support 🛠️ to deliver actionable insights for both consumers 🛒 and manufacturers 🏢.

jupyter-notebook matplotlib-pyplot mysql odbc-driver pandas-dataframe python seaborn sql sql-connector

Last synced: 06 May 2026

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: 28 Apr 2026

https://github.com/abhay-sinha-0/carpricepredictionproject

A machine learning project that predicts the selling price of a car based on its features such as year, mileage, fuel type, transmission, and more. This model can assist individuals and dealerships in estimating fair market prices for used cars.

artificial-intelligence data-analysis data-science data-visualization exploratory-data-analysis machine-learning-algorithms matplotlib-pyplot mysql-database numpy-library pandas-library python skit-learn sklearn-library

Last synced: 15 May 2025

https://github.com/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 11 Apr 2026

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: 16 Apr 2026

https://github.com/hannani7/sortingalgoswithopenmp

BubbleSort, InsertionSort, MergeSort, QuickSort. With Comparison graphs on Python Notebook

bubble-sort comparison-benchmarks insertion-sort matplotlib-pyplot merge-sort quick-sort

Last synced: 17 Jun 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: 13 Apr 2026

https://github.com/tanu4419/airbnb_listings_reviews

Airbnb is a global platform that connects homeowners looking to offer their properties for rent with travelers searching for unique lodging options.

analysis matplotlib-pyplot pandas-python python seaborn

Last synced: 16 May 2026

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 Apr 2026

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: 10 Apr 2026

https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification

This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.

classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn

Last synced: 06 May 2026

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: 10 Apr 2026

https://github.com/fedetony/post_processing_gui

Make a general format for plots and import different data to have your plots with the same properties.

formatting gui-application matplotlib-pyplot pandas plot plotting pyqt5-gui python3 visualization

Last synced: 06 Mar 2026

https://github.com/haikokrais/homedataviewer

Show the weather in your city and the forecast for the next day. Also view measurements and graphs form your own temperature and humidity measurements

city forecast humidity kivy kivy-garden matplotlib-pyplot measurements openweathermap-api python temperature weather

Last synced: 09 Apr 2025

https://github.com/sharoonjoseph321/insurance_fraud_detection

Fraud Detection using machine learning algorithm-KN Neighbors .Data exploration using Pyspark and matplotlib.

analytics data data-science eda high-performance knn-algorithm knn-classification machine-learning matplotlib-pyplot pyspark python seaborn spark statistics

Last synced: 23 Mar 2025

https://github.com/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/anshpg/stock-price-analysis-and-visualization

The Stock Price Analysis and Visualization project is a comprehensive tool designed to facilitate the analysis and visualization of stock price data across various parameters such as 'open,' 'close,' 'highest,' and 'lowest.'

csv matplotlib-pyplot pandas stock

Last synced: 19 May 2026

https://github.com/samuelsoaress/data-population

:arrow_upper_right: Data analysis and graph of the Brazilian population growth from 1980-2016 :writing_hand:

bootstrap graph-algorithms matplotlib-pyplot python3

Last synced: 19 May 2026

https://github.com/radhikareddy-chintareddy/big-data-insights-nyc-taxi-trips-2013-

A project showcasing memory-efficient big data processing using Python, focusing on scalable data handling to overcome memory constraints. Includes anomaly detection, efficient visualizations, and actionable insights from the 2013 NYC Taxi Trip dataset.

big-data-analytics csv-reader matplotlib-pyplot python

Last synced: 16 Apr 2026

https://github.com/ngangawairimu/automating_farming_analysis

This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.

matplotlib-pyplot numpy pandas python seaborn sqlite

Last synced: 10 Apr 2026

https://github.com/amiridk/machinelearning

machine-learning-notes

matplotlib-pyplot numpy pandas pyhton

Last synced: 04 May 2026

https://github.com/paulo-santos-ds/previsao_total_corridas_taxi

Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.

matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels

Last synced: 10 Apr 2026

https://github.com/notthestallion/data_visualisation-examples

This repository was created to learn and practice graph showing and data visualization. The goal is to gain experience in creating compelling and informative visualizations.

data data-science data-visualization database learn learn-to-code learning learning-by-doing matplotlib matplotlib-figures matplotlib-pyplot visualization

Last synced: 12 May 2026

https://github.com/dolfost/wfreq

Word frequency bar diagram generator

c cpp frequency-analysis lua matplotlib matplotlib-pyplot python

Last synced: 31 Dec 2025

https://github.com/ljadhav25/knn-algorithm-data-science-

This repository contains a project demonstrating the implementation and application of the K-Nearest Neighbors (K-NN) algorithm in Data Science. The objective is to provide a comprehensive understanding of the K-NN algorithm, including data preprocessing, model training, evaluation, and visualization of results. This project is ideal for beginners

data-analysis data-science knn-classification machine-learning matplotlib-pyplot numpy pandas-library seaborn

Last synced: 16 Apr 2026

https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market

This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions

cross-validation elasticnet-regression lasso-regression-model machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas python regularization-methods regularization-to-avoid-overfitting ridge-regression-model seaborn standardization

Last synced: 01 May 2026

https://github.com/thekartikeyamishra/mood-dashboard

The Mood Dashboard is a Python-based interactive tool designed to lift your spirits and provide personalized recommendations based on your current mood. It combines fun and practicality, offering motivational quotes, jokes, and relaxing videos, along with a visual representation of mood distribution.

googlecolab ipywidgets jyputer-notebook matplotlib-pyplot python request

Last synced: 28 Apr 2026

https://github.com/comsavvy/movies-dataset-analysis

This analysis is on movies dataset gleaned from TMDB (The movies database).

analysis matplotlib-pyplot movies movies-analysis python seaborn storytelling visualizations

Last synced: 13 Oct 2025

https://github.com/sayed-ashfaq/netflix_datacleaning

Netflix data analysis highlights significant null values, requiring cleaning and visualization to uncover viewer trends and regional insights. Improving data quality, personalizing recommendations, and targeting untapped markets can drive growth and profitability.

matplotlib-pyplot numpy-library pandas-library python seaborn-plots

Last synced: 25 Aug 2025

https://github.com/yasolg/ml-bootcamp

⚡ Master machine learning in 10 days with this interactive, open-source bootcamp. Learn Python basics to production ML at no cost.

chatgpt crewai data-science deep-learning jose-portilla langchain langgraph large-language-models llama matplotlib-pyplot mlops ollama python satellite-imagery scikit-learn tensorflow tensorflow2 udemy-course-project

Last synced: 15 Apr 2026

https://github.com/mauricelambert/fileanalysis

This package analyze emergence of characters in file (for statistics decryption).

decryption matplotlib-pyplot pypi-package python3 statistics

Last synced: 10 Jul 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: 10 Apr 2026

https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python

The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.

analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn

Last synced: 13 Sep 2025

https://github.com/charlieweinberger/ap-statistics

This repository includes functions that I used to understand and automate basic statistics questions, during my AP Statistics class in high school.

matplotlib-pyplot python statistics

Last synced: 25 Jun 2025

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/grammer-auto-correct

In this project work to make classification between the phase is correct or wrong if phase is right print the correct phase if phase is wrong be input of Transfer Learning and print the phase begore correct.

decision-trees logistic-regression machine-learning matplotlib-pyplot naive-bayes-classifier nlp nltk-library pandas-library python random-forest sklearn spacy svm-model transfer-learning

Last synced: 10 Apr 2026