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

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/danish-jamil-01/image-dehazer

Remove the haze from the image using dark channel prior and guided filter

dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter

Last synced: 30 Dec 2025

https://github.com/shefreenkaur/web-scraping-and-word-frequencies

This project analyzes word frequencies in BC Legislative documents using Stanford CoreNLP and Python. The program extracts text from PDF documents, processes it using natural language processing techniques, and generates a comprehensive word frequency analysis.

analytics chromedriver easyocr nlp numpy pandas pymupdf python selenium stanfordcorenlp webscraping wordfrequency

Last synced: 28 Mar 2025

https://github.com/abidhasanrafi/pharma-sales-analytics

A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.

matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/vigneshvaranasi/breast_cancer_detection

This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.

jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 30 Dec 2025

https://github.com/tasninanika/k-means-clustering

An interactive and insightful customer segmentation project using K-Means Clustering.

matplotlib numpy pandas plotly python3 scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/hoyirul/flask-starter-fs

Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.

flask machine-learning numpy pandas python sklearn

Last synced: 24 Jun 2025

https://github.com/aminkhavari78/-maternal-health-risk-data-set

In this part I'm working on Maternal Health Risk Prediction

data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn

Last synced: 24 Jun 2025

https://github.com/kasraskari/tumor-predict

Streamlit app for predicting tumor malignancy using logistic regression.

logistic-regression machine-learning numpy pandas python scikit-learn streamlit tumor-detection

Last synced: 30 Dec 2025

https://github.com/jai0212/ai-virtual-painter

Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours

artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python

Last synced: 30 Dec 2025

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 28 Mar 2025

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 05 Apr 2025

https://github.com/sakhileln/multimodal-chatbot-with-memory

A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.

chatbot machine-learning nlp numpy opencv spacy tensorflow

Last synced: 30 Dec 2025

https://github.com/lorenzorottigni/ml-spam-filter

Machine Learning python bootcamp: natural language processing with spam filter purposes

machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering

Last synced: 30 Dec 2025

https://github.com/luona-zhang/kaggle-data-science-competitions

This repository contains code developed for participating in Kaggle Data Science competitions.

fitting-algorithm machine-learning model-evaluation numpy pandas scikit-learn seaborn tensorflow

Last synced: 30 Dec 2025

https://github.com/offthetab/statistics_homework

Практические работы по статистике МИРЭА 3 курс.

numpy pandas python statsmodels

Last synced: 30 Dec 2025

https://github.com/xames3/xsnumpy

Basic and bare-bones functionality of NumPy just using pure Python.

numpy numpy-arrays numpy-library python

Last synced: 08 Sep 2025

https://github.com/notshrirang/opennn

Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.

deep-learning machine-learning neural-network numpy

Last synced: 05 Apr 2025

https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn

Last synced: 30 Dec 2025

https://github.com/lokranjanp/mnist-classifier

Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.

mnist mnist-classification mnist-classifier numpy pandas tensorflow

Last synced: 23 Feb 2025

https://github.com/jbalooshie/movies-etl

Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.

data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy

Last synced: 30 Dec 2025

https://github.com/rscr1/computer-graphic

Решение лабораторных работ по курсу "Компьютерная графика"

matplotlib numpy opengl pygame python

Last synced: 23 Feb 2025

https://github.com/hansalemaos/np_zoom_in

Zoom in on a picture

image numpy python zoom

Last synced: 29 Mar 2025

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 30 Dec 2025

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 30 Dec 2025

https://github.com/abhisek-13/whatsapp-chat-analyzer

The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.

data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn

Last synced: 29 Mar 2025

https://github.com/anshpg/vectorwave

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn

Last synced: 30 Dec 2025

https://github.com/artuk009/numericalprogramming

Notes and Code examples for Numerical Programming.

matplotlib numpy pandas python scipy sympy

Last synced: 30 Dec 2025

https://github.com/betiniakarandut/portfolio-project

Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)

numpy pandas python3

Last synced: 21 Dec 2025

https://github.com/emirxmertoglu/turkey_covid19

My goal in this project is to analyze the coronavirus data in the data set to make it meaningful and visualize it.

altair kaggle numpy pandas python

Last synced: 24 Feb 2025

https://github.com/rafinha0rafinha/web-analyzer-backend

(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.

azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer

Last synced: 12 Sep 2025

https://github.com/yash-rewalia/airbnb_eda_pandas

The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.

data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 30 Dec 2025

https://github.com/shreeparab1890/chat-analyzer

This project is a Data Analysis project to analyze the WhatsApp chats.

data-analysis numpy pandas python

Last synced: 30 Dec 2025

https://github.com/coder5omkar/LendingClubCaseStudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis

Last synced: 21 Jul 2025

https://github.com/shahaba83/airplane-ticket-cancellation

In this project, we try to predict the possibility of canceling the plane ticket by the buyer

datatime numpy pandas python scikit-learn seaborn

Last synced: 30 Oct 2025

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 24 Jun 2025

https://github.com/terrelbrinkley/python-projects

Python Scripts & Data Analyst Projects

aws numpy pandas python selenium

Last synced: 30 Dec 2025

https://github.com/amruta33/telecom-churn-case-study

Building a classification model for reducing the churn rate for a telecom company.

logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels

Last synced: 21 Jul 2025

https://github.com/neofelis2x/gl3wxpyg

A playground and testing repo to implement OpenGL 3.3 in a WxPython interface using pyglet as an OpenGL-wrapper.

3d-graphics numpy opengl pyglet wxpython

Last synced: 05 Apr 2025

https://github.com/docsallover/lbw-detection-in-cricket

LBW Detection in Cricket: A Deep Dive with OpenCV & NumPy

ball-detection cricket cvzone data-science lbw machine-learning numpy opencv python python3

Last synced: 03 Sep 2025

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 30 Dec 2025

https://github.com/mayankmittal29/duplifinder-quora-clone-catcher

An advanced system for detecting semantically duplicate question pairs using cutting-edge NLP techniques. Combines traditional ML models (XGBoost, SVM, Random Forest) with deep learning architectures (BiLSTM, Siamese Networks, Transformers) and contextual embeddings (BERT, RoBERTa). Features engineered using token similarity, fuzzy matching, and em

bert bilstm cross-validation eda fastext fuzzy-matching glove numpy pandas python3 quora-question-pairs random-forest roberta seaborn stemming svm tf-idf transformers word2vec xgboost

Last synced: 21 Mar 2025

https://github.com/mandeep04sharma/ev-cars-analysis---python

This project dives deep into electric vehicle specifications and performance using Python. It involves data cleaning, filtering, statistical analysis, outlier detection, and hypothesis testing to uncover meaningful insights.

matplotlib numpy pandas python scipy

Last synced: 30 Dec 2025

https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques

Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.

data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/dineshdhamodharan24/data_science_final_project

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

classification final-project guvi-projects image-processing nltk-python numpy ocr pandas recommendation-system sentiment-analysis sklearn-library streamlit text-processing worldcloud

Last synced: 10 Oct 2025

https://github.com/deenayy/algorithmic-trading-bot

The-project-aims-to-evaluate-the-predictive-performance-of-different-machine-learning-(ML)-algorithms-for-Bitcoin-trading.-The-proposed-trading-strategy-integrates-key-technical-indicators,-including-the-Relative-Strength-Index-(RSI),-Simple-and-Exponential-Moving-Averages,-and-the-Moving-Average-Convergence-Divergence-(MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 30 Dec 2025

https://github.com/jcardonamde/datasets_ml

This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.

data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn

Last synced: 30 Dec 2025

https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test

Last synced: 30 Dec 2025

https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app

An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.

dataanalytics matplotlib numpy pandas python seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/ahmedabdalkreem/sentiment-analysis

This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.

bert-model lematization matplotlib nlp nltk numpy pandas python3 sentiment-analysis stopwords streamlit

Last synced: 30 Dec 2025

https://github.com/myahninsi/credit_card_fraud_detection

This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.

matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 30 Dec 2025

https://github.com/maxbleu/f1analisys

A Python repository for analyzing and visualizing Formula 1 data. Includes tools for race statistics, performance comparisons, and custom visualizations.

data-science f1 f1-analisis f1api fastf1 formula1-analysis formula1-data-analysis matplotlib-python motorsport numpy pandas python seaborn

Last synced: 12 Sep 2025

https://github.com/praju-1/data_science_projects

It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.

data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization

Last synced: 30 Dec 2025

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

data-science jupyter-notebook machine-learning numpy pandas python scikit-learn

Last synced: 30 Dec 2025

https://github.com/ashkan-khd/recommender-systems

A series of recommender systems projects for DATA.ML.360-2024-2025-1 Recommender Systems at Tampere University

collaborative-filtering group-recommendation-system group-recommendations jupyter jupyter-notebooks numpy pandas python recommender-system

Last synced: 30 Dec 2025

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

A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.

math matplot numpy pandas python3 sklearn

Last synced: 30 Dec 2025

https://github.com/mr-talhailyas/histogram-equalization-and-contrast-stretching

Histogram equalization and contrast stretching without using builtin library functions.

contrast-stretching histogram-equalization image-enhancement image-processing numpy

Last synced: 05 Apr 2025

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 30 Dec 2025

https://github.com/pzuehlke/hands-on-numpy

An introduction to NumPy for undergraduate students, focusing on basic linear algebra

linear-algebra numpy numpy-tutorial python scipy

Last synced: 07 May 2025

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/rahulsm20/insurance-data

A data analytics project dealing with risk assessment and it's effects in health insurance.

data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 24 Feb 2025

https://github.com/gehad-ahmed30/hand-gesture-volume-control

This repository features innovative projects using OpenCV, highlighting the power of computer vision. With detailed documentation and source code, developers can easily learn various techniques. Explore to enhance your understanding of image processing and object detection! 🚀

mediapipe numpy opencv pyautogui python

Last synced: 30 Dec 2025

https://github.com/saket-sk/data-science-lab

List of Assignments I have performed as a part of Honorary Course of Data Science and Machine Learning Lab.

data-cleaning data-science jupyter-notebook jupyter-notebook-extension numpy numpy-arrays pandas pandas-dataframe pandas-python python

Last synced: 08 Aug 2025

https://github.com/asuquoaa/energy-_gdp-_and_scimago_rankings_analysis-2006-2015

Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.

data-cleaning numpy pandas

Last synced: 12 Sep 2025

https://github.com/lordy5/ml-algorithms

Implementing ml algorithms from scratch to learn how they work.

from-scratch machine-learning ml numpy

Last synced: 05 Apr 2025

https://github.com/aimin-nur/dataanalyst-cohortanalysis

Sebuah project Data Analayst untuk mengetahui bagaimana pola pembelian pelanggan dalam periode waktu tertentu (Cohort Analysis)..

cohort-analysis numpy pandas pytz

Last synced: 25 Jun 2025

https://github.com/alexsolov28/ml_nir

Научно-исследовательская работа на тему «Прогнозирование цен на жилье»

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 20 Jan 2026

https://github.com/amiridk/statics-and-algebra-in-python

simple and important statics operations and Famous statistical problems , also algebra operations

algebra itertools matplotlib numpy pandas python scipy seaborn static

Last synced: 24 Feb 2025

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 24 Feb 2025

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 24 Feb 2025

https://github.com/petridhsg/firewall-data-classification

A single implementation of a machine learning algorithm for a firewall data classification task

machine-learning matplotlib numpy python seaborn

Last synced: 16 Nov 2025

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026

https://github.com/mani-prakash-n-r/book_recommendation_system_using_hybrid_technique

The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.

csv html numpy pandas python sckiit-learn

Last synced: 24 Feb 2025

https://github.com/chdl17/imdb-assignment

This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.

numpy pandas-dataframe python

Last synced: 24 Feb 2025

https://github.com/bishopce16/world_weather_analysis

The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.

apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy

Last synced: 24 Feb 2025

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»

jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit

Last synced: 11 Sep 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn

Last synced: 05 Apr 2025

https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model

This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.

correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization

Last synced: 10 Sep 2025

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 17 Jul 2025

https://github.com/mr-chang95/twitter_datawrangling

Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program

data-visualization data-wrangling dogs matplotlib numpy pandas python twitter

Last synced: 30 Dec 2025

https://github.com/ankit21111/carpredict

This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!

data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn

Last synced: 13 Mar 2025

https://github.com/hari7261/playwithdata-python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn

Last synced: 31 Dec 2025

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awesome-jax 218 awesome-data-analysis 865 awesome-ebooks 106 awesome-mojo-max-mlir 181 awesome-jax 132 awesome-numpy 32 practice-data-science-programming-projects 90
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