NumPy | Ecosyste.ms: Awesome

https://github.com/nathanaelsantos/dynamic-maze-search-algorithms

Dynamic-Maze-Search-Algorithms

conda docker graph-tool inteligencia-artificial numpy pygame python

Last synced: 24 Jan 2026

https://github.com/kunalrrathod/placement-predictor

A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements

bootstrap4 flask-application jquery knearest-neighbor-algorithm machine-learning numpy pandas-dataframe python3 sklearn

Last synced: 15 Apr 2026

https://github.com/cedricstrolz/digitalisierung-statistik-ws24

Hier handelt es sich NICHT um Lösungen sondern Lernunterlagen

matplotlib numpy pandas python statistics

Last synced: 25 Feb 2026

https://github.com/sultanazhari/analyze-client-behavior

Megaline Telecomunication Company want to know how their customer habbits in using their services. As a data Analyst we're provided Customer Habbits and suggest to determine the options that need to be taken

matplotlib-pyplot numpy python3 scipy seaborn telecommunications

Last synced: 15 Apr 2026

https://github.com/aarryasutar/pipe_leak_estimation_predictor_model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

bayesian-networks cpd csv dag data-frames inference model-verification numpy pandas pgmpy pressure-sensors probabilistic-graphical-models probability python variable-elimination-algorithm

Last synced: 15 Apr 2026

https://github.com/abhihirekhan/abhi-s-data-science-portfolio

A list of data science projects completed by me for academic, self learning, and creative purposes

datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow

Last synced: 31 Jan 2026

https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.

matplotlib numpy pandas seaborn sklearn sklearn-metrics

Last synced: 15 Apr 2026

https://github.com/vustron/car_price_predictor_backend

The backend server for the machine-learning model for prediction of car price

flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api

Last synced: 15 Apr 2026

https://github.com/mamtapanda088/uber-data-analysis

Uber data analysis involves studying trip trends, peak hours, popular locations, fare patterns, and visualizing insights using Python.

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 15 Apr 2026

https://github.com/lynk4/ai-ml

Artificial Intelligence (AI) and Machine Learning (ML) ....;)

ai artificial-intelligence huggingface huggingface-transformers machine-learning-algorithms machinelearning numpy pandas prediction-model predictions python python3 sckit-learn sentiment-analysis

Last synced: 15 Apr 2026

https://github.com/prabath1998/rice_leaf_disease_ditection_system

This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease

flask joblib numpy opencv pillow sklearn

Last synced: 15 Apr 2026

https://github.com/mattdelaune/ecommerce_market_basket_analysis

This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.

anaconda git google-docs jupyter-notebook kaggle-api numpy pandas postgresql powerbi psql random sql sql-magic sqlalchemy vscode

Last synced: 26 Feb 2026

https://github.com/py-mp3/boston-comparing-regression-modules

A ipynb file that compares different regression modules in the sk.learnit library.

ipython-notebook numpy pandas python regression-models seaborn sklearn

Last synced: 09 Feb 2026

https://github.com/hamidhosen42/a-graph-machine-learning

Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.

ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library

Last synced: 09 Feb 2026

https://github.com/felixcharotte/housepredictions_tatahousing

Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website building.

aws flask jupyter linear-regression numpy pandas python

Last synced: 09 Feb 2026

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 26 Feb 2026

https://github.com/w86763777/numpynet

A simple Deep Learning framework powered by numpy.

backpropagation cnn deeplearning fundamental numpy python

Last synced: 11 Feb 2026

https://github.com/piyush1927/flightforecast

ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.

machine-learning mathplotlib numpy pandas scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/sralter/sustainability_insights

A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

duckdb eda matplotlib numpy pandas tableau

Last synced: 12 Feb 2026

https://github.com/simranjeet97/machine-learning

How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!

algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow

Last synced: 16 Apr 2026

https://github.com/aniketmondal/da_youtube_popular_videos

Analysis of current most popular YouTube videos. Contains real-life data collection using API, storing data in Cloud database, analysis of various data types in Pandas, and creating visualizations using Seaborn, Matplotlib.

cloud-database compute-engine data-cleaning data-science data-wrangling datetime-library google-cloud-platform ipython-notebook matplotlib numpy pandas pgadmin4 postgresql psycopg2 python python-dotenv seaborn virtual-machine youtube-api-v3

Last synced: 13 Feb 2026

https://github.com/giuliotaralli/machine-learning-exercises

Practical exercises from the Machine Learning course

graphviz matplotlib numpy pandas python scipy sklearn

Last synced: 15 Feb 2026

https://github.com/texnoforge/texnomagic

TexnoMagic library for digital Magic

gmm magic numpy python recognition scikit-learn scipy

Last synced: 03 Mar 2026

https://github.com/suraj-sedai/finance_graph-personalized-analytics

Finance management app to track transactions, analyze spending, and visualize data.

api data-visualization database django finance-management jwt-authentication machine-learning mathplotlib numpy pandas react responsive-design restful-api

Last synced: 27 Mar 2026

https://github.com/m-rishab/credbet

A loan prediction web app which tells You that you are eligible for loan or not!

decision-tree-classifier matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics

sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,

amortization amortization-schedule bank numpy pandas python

Last synced: 17 Apr 2026

https://github.com/arufonsekun/computer-vision

This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)

computer-vision numpy opencv python3

Last synced: 17 Apr 2026

https://github.com/psp515/Studies-DifferentalEquations

Differental Equations course on AGH UST 22/23.

numerical-methods numpy python

Last synced: 18 Apr 2026

https://github.com/ankushmallick1100/task-2-the-sparks-foundation-data-science-and-business-analytics-internship

Task 02: Clustering using Unsupervised Machine Learning

clustering data-science internship internship-task jupyter k-means k-means-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 sklearn thesparksfoundation thesparksfoundationinternship tsf unsupervised-learning unsupervised-machine-learning

Last synced: 04 Apr 2026

https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques

This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.

classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier

Last synced: 04 Apr 2026

https://github.com/lynk4/your-first-machine-learning-model-in-python

Create your first machine learning model in python...........

datavisualization linear-regression machine-learning machinelearning machinelearning-python machinelearningmodel matplotlib ml model numpy pandas python random-forest

Last synced: 05 Apr 2026

https://github.com/aryansk/human-counting-system

HumanVision-Detector is a real-time human detection system built with OpenCV and HOG (Histogram of Oriented Gradients) descriptor. The system can detect and count people in both images and video streams, making it suitable for various applications including surveillance, crowd monitoring, and foot traffic analysis.

argparse imutils machine-learning machine-learning-algorithms numpy opencv python

Last synced: 19 Apr 2026

https://github.com/bielstela/connect-four

Numpy implementation of the game connect four (AKA four in a row)

game-2d numpy numpy-exercises python

Last synced: 19 Apr 2026

https://github.com/abideen-olawuwo/image-classification

Multi Class Image Classification Problem

classification deep-learning image-classification machine-learning matplotlib numpy pandas tensorflow transfer-learning

Last synced: 19 Apr 2026

https://github.com/ilovenooodles/image-compression

Tugas Besar 2 Aljabar Linear dan Geometri

image-compression numpy python svd-matrix-factorisation

Last synced: 20 Apr 2026

https://github.com/rhazra-003/indiebot

A basic chatbot which answers questions based on history of India

chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn

Last synced: 20 Apr 2026

https://github.com/rkarahul/data_science_project_2023

machine-learning matplotlib numpy pandas python sckit-learn seborn

Last synced: 20 Apr 2026

https://github.com/lostvikx/data-analysis-py

Notes & Code following Python for Data Analysis textbook

data-analytics matplotlib notes numpy pandas

Last synced: 20 Apr 2026

https://github.com/simran2911/flight-price-pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression

Last synced: 21 Apr 2026

https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy

This is an efficient implementation of a fully connected neural network in NumPy.

dnn neural-network numpy python3

Last synced: 22 Apr 2026

https://github.com/aarmn/maryam

🧮 Maryam is a light, hackable and accurate python mathematical module written for simple usage with no dependencies (up to now). In memory of Iranian mathematician Maryam Mirzakhani, The first woman and Iranian who's honored by Fields medal

algebra discrete-mathematics maryam math matrix numpy python python3

Last synced: 24 Apr 2026

https://github.com/amir78729/numpy-system-solution-detector

Linear Algebra course - First Project

echelon-form linear-algebra matrix numpy

Last synced: 26 Apr 2026

https://github.com/akash-rajak/video-cropper

Script to crop video according user's size and dimension.

cv2 numpy python3 tkinter video video-cropper

Last synced: 27 Apr 2026

https://github.com/iusztinpaul/ibm-assets-recommendation-engine

Deployable recommendation system for predicting the fittest IBM articles for a given user.

ibm machine-learning numpy pandas python recommendation-engine recommendation-system svd-matrix-factorisation

Last synced: 27 Apr 2026

https://github.com/corentin-mzr/pmi

Project Master IPSA : Modeling the transport of a chemical species in a fluid

1d 2d fluid-dynamics fluid-simulation matplotlib numpy physics physics-2d physics-simulation python stochastic-processes

Last synced: 07 Jun 2026

https://github.com/imsalmanmalik/linear-regression-model-airbnb-prices-seattle

Linear Regression Model on Airbnb prices of Seattle using Dash and Python

airbnb choropleth-map dash dataanalysis datacleaning datamanupilation datascience exploratory-data-analysis feature-engineering machine-learning matplotlib normalization numpy onehot-encoding pandas python seaborn-plots sklearn-library trainandtestsets visualization

Last synced: 28 Apr 2026

https://github.com/mgobeaalcoba/pandas_y_numpy

Trabajos realizados con estas librerías de Python para manejo de datos.

data-analysis data-science dataset numpy pandas python

Last synced: 28 Apr 2026

https://github.com/mrbrain295/prime-finder

pip install prime-finder-mammillaria for installation

numpy prime-numbers python3

Last synced: 28 Apr 2026

https://github.com/hpennington/mono-visual-odometry

Monocular Visual Odometry in NumPy

computer-vision numpy opencv python

Last synced: 28 Apr 2026

https://github.com/vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent

Last synced: 28 Apr 2026

https://github.com/mahiponii/hyperion_sort

lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow

Last synced: 28 Apr 2026

https://github.com/aryansk/movie-recommendation-system

A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! 🎯

machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn

Last synced: 29 Apr 2026

https://github.com/yunfanjiang/ml_interview_with_numpy

Implementation of ML algorithms using NumPy from scratch

from-scratch interview machine-learning machine-learning-algorithms numpy

Last synced: 29 Apr 2026

https://github.com/cchandre/kh

Kramers-Henneberger reductions of Hamiltonian dynamics

amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse

Last synced: 29 Apr 2026

https://github.com/v-mayya/python-sales-data-analysis

Group project with another team member held by CFG to conduct spreadsheet data analysis of fake sales data using Python

analysis data matplotlib numpy python

Last synced: 29 Apr 2026

https://github.com/ralstonraphael/water_access_ml_project

This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.

data-science machine-learning numpy pandas python

Last synced: 29 Apr 2026

https://github.com/vidhi1290/ai-ml-cartoonifier

Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.😛

bilateral-filter cartoonify-ai edge-detection matplotlib numpy opencv skimage tensorflow

Last synced: 30 Apr 2026

https://github.com/mrhashemi/optimizers

Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.

adam-optimizer bfgs conjugate-gradient numpy optimizer scipy

Last synced: 30 Apr 2026

https://github.com/sralter/term_deposit_marketing

Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.

matplotlib numpy optuna pandas seaborn sklearn

Last synced: 30 Apr 2026

https://github.com/nmsby/pca-machine-learning-lab

Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.

data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization

Last synced: 01 May 2026

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

Last synced: 02 May 2026

https://github.com/oguzhansarigol/expected-goals-xg-data-analysis

We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.

data-analysis-python expected-goals numpy pandas-python python

Last synced: 02 May 2026

https://github.com/iv4n-ga6l/realtime-car-traffic-tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 02 May 2026

https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python

The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.

csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation

Last synced: 02 May 2026

https://github.com/guiferviz/happyml

Machine Learning Python library for academic purposes.

deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy

Last synced: 03 May 2026

https://github.com/mirseo/pandas_learning

pandas_learning

data-analysis data-analysis-python data-science data-visualization numpy numpy-example pandas pd python python-3 python3

Last synced: 03 May 2026

https://github.com/harshitwaldia/stock-price-prediction

An AI-driven stock market analysis dashboard that predicts next-day stock prices using a deep learning LSTM model. The project features: 🔮 AI Predictions for stock movements 🌍 Global market support (US, India, China, Japan, UK) 📊 Interactive React dashboard with charts & recent searches ⚡ Flask backend powered by Tensor/Keras & Yahoo Finance

dashboard flask flask-cors keras-tensorflow lstm-neural-networks machine-learning numpy react-typescript scikit-learn stock-price-prediction

Last synced: 03 May 2026

https://github.com/realtristan/micronet

Neural network library from scratch

neural-networks numpy python pytorch

Last synced: 03 May 2026

https://github.com/saptak625/doublependulum

This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.

differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython

Last synced: 03 May 2026

https://github.com/utkarsh-284/deep-learning

This repository contains the documents and main project file needed for building DNN from scratch using NumPy.

data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3

Last synced: 03 May 2026

https://github.com/llwusill/nlpbadwords

NLP ile kötü sözcük tespiti

colab-notebook matplotlib nlp nlp-machine-learning nlp-parsing nltk notebook-jupyter numpy pandas python seaborn snowballstemmer wordcloud

Last synced: 04 May 2026

https://github.com/chirindaopensource/crypto_currencies_interest_rates

End-to-end Python Implementation of Bergault et al.'s (2025) methodology for constructing yield curves without traditional bonds. Implements inverse options replication, robust statistical methods, and closed-form analytical solutions for risk-neutral interest rate discovery in digital asset markets.

academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve

Last synced: 04 May 2026

https://github.com/heisenberg141/probability-based-boundary-detection

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

boundary-detection canny-edge-detection computer-vision edge-detection gabor-filters gaussian-filters image-gradients image-processing kmeans-clustering lm-filters numpy opencv python3 sobel-filter texton-maps

Last synced: 04 May 2026

https://github.com/mgobeaalcoba/datacademy

Iré subiendo los distintos desafíos del reto de Platzi llamado Datacademy

anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 04 May 2026

https://github.com/h3ar7b3a7/exploringjupyterlab

This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.

bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas

Last synced: 04 May 2026

https://github.com/svetlanam/data-scripts

Simple scripts for data cleaning, etl transformations and data reorganisations

data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema

Last synced: 04 May 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 2026

https://github.com/kostrykin/blas-benchmark

A benchmark comparison of different BLAS backends for NumPy.

benchmark blas cvxpy mkl numpy openblas python

Last synced: 04 May 2026

https://github.com/sarmadahmad8/digit-recognizer-91.4-accuracy

Digit Recognizer 91.4% accuracy

artificial-intelligence data-science digit-recognizer machine-learning neural-network numpy pandas python

Last synced: 05 May 2026

https://github.com/anupam0202/contextual-rag-chatbot

Contextual RAG Chatbot that processes PDF documents using the Google Gemini API

google-generativeai numpy pypdf2 scikit-learn streamlit

Last synced: 05 May 2026

https://github.com/khaymanii/fake_news_prediction_model

This model was built using python and logistic regression algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 05 May 2026

https://github.com/anas436/dashboard-building-using-dash-with-python

css3 dash-core-components dash-html-components html5 jupyter-dash jupyterlab numpy pandas plotly plotly-express

Last synced: 05 May 2026

https://github.com/intscription/python-programs

Python basics-advance

numpy pandas scikit-learn

Last synced: 05 May 2026

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 05 May 2026

https://github.com/heshanera/paclassifier

Online Passive Aggressive Binary Classifier

binary-classifier numpy passive-aggressive python

Last synced: 06 May 2026

https://github.com/khaymanii/house-price-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/yc1909/ai_impact_on_jobs

Impact of Artificial Intelligence on Jobs and Workplace-Analysis

analytics exploratory-data-analysis matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/khaymanii/customer_segmentation_model

This model was built using Python and KMeans Clustering algorithm

matplotlib numpy pandas python sckit-learn seaborn

Last synced: 06 May 2026

https://github.com/an4pdm/exercicios-de-numpy

Repositório com exercícios básicos de Numpy para praticar.

exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials

Last synced: 06 May 2026

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 07 May 2026

https://github.com/nemeslaszlo/emergency-911-calls

Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.

jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 06 May 2026

https://github.com/gehad-ahmed30/data-analysis

This repository offers a guide to data visualization with Pandas and includes practical examples and two complete projects. Learn to preprocess, analyze, and visualize datasets to solve real-world problems effectively.

analysis matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/asut00/machine-learning-program_42ai

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/dhairyac/student-performance-analysis

Analyze and visualize features affecting student performance

decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/ayaanjawaid/brain_stroke_prediction

project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.

decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost

Last synced: 07 May 2026

https://github.com/mihirh19/analyzing-crimes-in-la

This GitHub repository contains a comprehensive analysis of crime data in Los Angeles. Leveraging a variety of data sources, tools, and techniques, we have explored patterns, trends, and insights related to criminal activities within the city. Our analysis includes data visualization crime dynamics in different neighborhoods and over time.

dataset machine-learning matplotlib numpy pandas seaborn