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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/coder36459/fcc-projects
freeCodeCamp projects
bash bootstrap c-sharp css d3 data-analysis html javascript matplotlib numpy pandas postgresql programming python react seaborn sql topojson xml xslt
Last synced: 03 Apr 2026
https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning
A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.
deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow
Last synced: 03 Apr 2026
https://github.com/jjwizardmp/a-start-search-python
Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.
cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3
Last synced: 04 Apr 2026
https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
Last synced: 07 May 2026
https://github.com/macnianios/retail_sales_analysis
final data science project on techpro academy data science stream
anova clustering colab-notebook data-analysis data-science data-science-projects linear-regression numpy pandas python
Last synced: 17 Apr 2026
https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python
the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)
case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 17 Apr 2026
https://github.com/anag0es/projetos-ml
Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.
artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python
Last synced: 17 Apr 2026
https://github.com/hairymax/python-for-science-lecture-notes
Tutorial material on the scientific Python ecosystem in Russian
matplotlib numpy python scipy sympy
Last synced: 12 Apr 2026
https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
Last synced: 04 Apr 2026
https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022
In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.
csv-files ipl kaggle-dataset matplotlib numpy pandas
Last synced: 10 May 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
machine-learning matplotlib metrics numpy
Last synced: 04 May 2026
https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
Last synced: 18 Apr 2026
https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
Last synced: 18 Apr 2026
https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
Last synced: 04 Apr 2026
https://github.com/krishbharadwaj5678/gestureninja
Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
automation computer-vision cvzone finger-tracking fruit-ninja game-development gamedev gesture-recognition hand-tracking mediapipe mouse mouse-control numpy opencv pyautogui python realtime virtualmouse webcam
Last synced: 07 May 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
catboost matplotlib numpy pandas python sklearn
Last synced: 04 Apr 2026
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: 07 May 2026
https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis
This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.
analysis data jupyter-notebook matplotlib numpy python seaborn vscode
Last synced: 07 May 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/sahil210695/convolution-evolution
This is to see how a kernel will convolve over an image and what will be its output after convolution
cnn convolutional-neural-networks data-science image-kernel image-processing numpy numpy-neural-network python streamlit
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https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy
Last synced: 12 Apr 2026
https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
Last synced: 04 Apr 2026
https://github.com/awanraskall/retail-demand-analysis
Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 18 Apr 2026
https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
Last synced: 18 Apr 2026
https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
Last synced: 18 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
Last synced: 04 Apr 2026
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: 07 May 2026
https://github.com/4strium/predict-french-tv-audience
🎬 A beginner's machine learning project whose aim is to predict the audience for films on TV in France, based on previous data provided by the CNC and Médiamétrie.
machine-learning numpy pandas python tv xgboost
Last synced: 07 May 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 12 Apr 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
Last synced: 18 Apr 2026
https://github.com/r-mahesh45/reccomendation-system
This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
numpy pandas-dataframe python3 scikitlearn-machine-learning
Last synced: 07 May 2026
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: 05 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/abideen-olawuwo/converted-docker
Deploy converted model into docker
docker dockerfile flask matplotlib numpy pandas-library pickle pipfile requests sklearn
Last synced: 05 Apr 2026
https://github.com/dyceszn/i.duruohacos102
First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
Last synced: 18 Apr 2026
https://github.com/jeet1995/brain-corp-robot-scan-filter
argparse numpy python shell-script unittest
Last synced: 18 Apr 2026
https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Apr 2026
https://github.com/nksmanya/virtual_canvas
A hand gesture-based drawing app that lets you create art in the air using hand movements
mediapipe numpy opencv opencv-python python
Last synced: 18 Apr 2026
https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn
Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
Last synced: 12 Apr 2026
https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost
Last synced: 05 Apr 2026
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: 05 Apr 2026
https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
matplotlib numpy pandas python pytorch
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/weldingdefectdetection
Welding Defect Detection
css3 fastapi html5 javascript kaggle-dataset numpy opencv ultralytics yolov8
Last synced: 05 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Apr 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
Last synced: 05 Apr 2026
https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
Last synced: 05 Apr 2026
https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
Last synced: 05 Apr 2026
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
Last synced: 05 Apr 2026
https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
keras numpy pandas plotly python restnet50 sklearn tensorflow
Last synced: 05 Apr 2026
https://github.com/al-ghaly/prosper-loans-analysis
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
Last synced: 18 Apr 2026
https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
matplotlib numpy pandas python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/somenath203/skin-lesion-segmentation-opencv
numpy opencv pandas skin skin-lesion skin-lesion-segmentation
Last synced: 18 Apr 2026
https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3
Last synced: 18 Apr 2026
https://github.com/susanketsarkar/nn-from-scratch
A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.
deep-learning implementation-of-algorithms neural-network numpy python
Last synced: 10 May 2026
https://github.com/znreza/paradoxes
Q-learning algorithm from scratch in python for optimal path finding
grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning
Last synced: 18 Apr 2026
https://github.com/linggarm/lvq-and-elm-with-iris-dataset
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing
Last synced: 18 Apr 2026
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: 12 Apr 2026
https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.
criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
Last synced: 18 Apr 2026
https://github.com/costopoulos/ntua-dsp
:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports
dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft
Last synced: 19 Apr 2026
https://github.com/mariacarolinass/programacao-linear
Minimizando problemas matemáticos com Python e AMPL.
ampl numpy programacao-linear ufrn
Last synced: 19 Apr 2026
https://github.com/bharath-tars/modelml
Model for Diabetes Prediction using Machine Learning
docpilot flask heroku matplotlib-pyplot numpy pandas seaborn sklearn smtp
Last synced: 19 Apr 2026
https://github.com/mugambi645/eda-projects
A list of EDA projects
data-analysis eda matplotlib numpy pandas plotly seaborn webscraping
Last synced: 19 Apr 2026
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.
Last synced: 08 May 2026
https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn
Last synced: 08 May 2026
https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
efficient-frontier equity financial-research monte-carlo-simulation numpy pandas portfolio-analysis portfolio-management portfolio-optimization python quantitative-analysis quantitative-finance regression regression-models risk risk-analysis risk-management risk-models value-at-risk volatility
Last synced: 20 Apr 2026
https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
data-analysis data-science dataframes jupyter-notebook numpy pandas python
Last synced: 20 Apr 2026
https://github.com/dennis-mureti/mini-project-data-science
HIV data analysis per county (use PYTHON IDE)
data-science jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 20 Apr 2026
https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
matplotlib numpy numpy-library pandas seaborn
Last synced: 20 Apr 2026
https://github.com/marknature/codealpha-internship_python-programming
Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025
Last synced: 20 Apr 2026
https://github.com/gandholisarat/mlp-backprop-pmat403
This repository contains a Jupyter Notebook developed for my course, demonstrating symbolic and numerical computation, visualization, and problem-solving in Python using libraries such as SymPy, NumPy, SciPy, and Matplotlib.
jupyter jypyternotebook matplotlib numpy
Last synced: 20 Apr 2026
https://github.com/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
Last synced: 08 May 2026
https://github.com/alz-11/ftoc
Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.
approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3
Last synced: 08 May 2026
https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
benchmarking numpy performance performance-analysis profiling python statistics timing wrapper
Last synced: 16 May 2026
https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases
Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle
jupiter-notebook numpy pandas python
Last synced: 08 May 2026
https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket
Last synced: 10 May 2026
https://github.com/prince-gh/numpy
Learn Numpy step by step
library numpy prince-gh python
Last synced: 22 Apr 2026
https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
Last synced: 24 Apr 2026