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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/alejandrolara11/data-preprocessing
Data preprocessing through the use of the libraries NumPy and pandas.
data-analysis data-cleaning data-preprocessing numpy pandas python
Last synced: 09 May 2026
https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project
Plant Disease Prediction with CNN - Deep Learning Project
cnn-for-visual-recognition docker keras-tensorflow machine-learning numpy streamlit-webapp
Last synced: 09 May 2026
https://github.com/aymen016/leetcode-problems
This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯
coding decision-making leetcode-python leetcode-solutions numpy problem-solving python
Last synced: 09 May 2026
https://github.com/jsnevt/series_temporais
Previsão de eventos que ocorrem sazonalmente
datetime matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/sameerjain/ai-snake-game
Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.
anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning
Last synced: 09 May 2026
https://github.com/normyee/chatbot-pytorch_nlp
ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.
bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp
Last synced: 09 May 2026
https://github.com/ranagaballah/true-fake-news
True Fake News Detector NLP model
data-analysis data-science data-visualization deployment machine-learning matplotlib nlp numpy pandas python
Last synced: 09 May 2026
https://github.com/kemalcalak/developing-driverless-vehicles
This project includes the software required for an autonomous vehicle
numpy object-detection opencv segmentation yolo
Last synced: 09 May 2026
https://github.com/mahmood-anaam/deterministic-dynamic-programming
This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.
dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem
Last synced: 09 May 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
Last synced: 09 May 2026
https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
collaborative-filtering cosine-similarity numpy pandas python recommender-system
Last synced: 09 May 2026
https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
Last synced: 09 May 2026
https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm
Implementing and evaluating the TWF algorithm against real datasets
mathematics numpy python scipy signal-processing spyder
Last synced: 09 May 2026
https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
Last synced: 09 May 2026
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
Last synced: 09 May 2026
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.
Last synced: 09 May 2026
https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
Last synced: 09 May 2026
https://github.com/sivasurya681/financial-expense-tracker
The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.
calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total
Last synced: 09 May 2026
https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/priyanshul28/exercise_pandas
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.
data-cleaning data-visualization matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
Last synced: 09 May 2026
https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values
Last synced: 09 May 2026
https://github.com/michaelzheng67/real_estate_ml
AI experiment developed to run against simulated real estate and investing environment
Last synced: 09 May 2026
https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
Last synced: 09 May 2026
https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
Last synced: 09 May 2026
https://github.com/arjunravi26/selenium
This repository contains code from my learning about Selenium for web scraping and automation.
numpy python selenium time undetected-chrome webdriver
Last synced: 09 May 2026
https://github.com/betiniakarandut/portfolio-project
Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)
Last synced: 09 May 2026
https://github.com/alexgustafsson/word-frequencies
Data and tools to compile word frequencies, trigrams and more for use with NLP, spelling correction etc.
language nlp nltk numpy python python3 sklearn spelling-correction trigram
Last synced: 10 May 2026
https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
Last synced: 10 May 2026
https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
Last synced: 10 May 2026
https://github.com/686f6c61/numeros-primos-gemelos
Este proyecto permite generar y visualizar números primos gemelos de diferentes formas para ayudar a comprender sus patrones y distribución. Incluye múltiples visualizaciones y análisis estadísticos avanzados.
Last synced: 10 May 2026
https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn
Last synced: 10 May 2026
https://github.com/prateekrajsrivastav/question-answering-model
This project is an NLP-based Question-Answering System that leverages machine learning and natural language processing techniques to provide answers to user queries based on a given context or dataset. The system processes textual input, extracts meaningful insights, and returns relevant answers to the user's question.
huggingface-transformers matplotlib nltk numpy pandas seaborn spacy
Last synced: 10 May 2026
https://github.com/esoltys/climate_data_viz
FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).
apache-echarts copernicus-climate-data-store fastapi numpy
Last synced: 10 May 2026
https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
Last synced: 10 May 2026
https://github.com/jjerphan/joml
A minimalist numpy-baked Neural Network API
deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing
Last synced: 10 May 2026
https://github.com/kartmaan/plotly-intervals
Group values from a Pandas Series according to given intervals and represent them graphically with Plotly
bar-chart grouping grouping-plots intervals intervals-chart numpy numpy-arrays orca pandas pandas-series percentile pie-chart plot plotly plotting values
Last synced: 10 May 2026
https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 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/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Last synced: 10 May 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
Last synced: 10 May 2026
https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.
data-analysis kmeans-clustering matplotlib numpy seaborn visualization
Last synced: 10 May 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/velascort/image_equalizer_gui
Image equalizer using LUT interface.
image-processing lut numpy python scikit-image ttk
Last synced: 10 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/relostar-devil/census-income-prediction
An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.
matplotlib numpy pandas scikitlearn-machine-learning seaborn
Last synced: 10 May 2026
https://github.com/jsnevt/regressao_logistica
Cálculos de probabilidades sobre uma eleição
matplotlib numpy pandas-dataframe python
Last synced: 11 May 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
Last synced: 11 May 2026
https://github.com/pdoup/atml-notebooks
Proposed assignment notebooks for Advanced Topics in Machine Learning tasks
active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn
Last synced: 11 May 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/akashash01/decision_tree
A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).
data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn
Last synced: 11 May 2026
https://github.com/chaganti-reddy/heart_disease_prediction
Machine Model creation for Heart Disease Prediction
data-science deep-learning machine-learning numpy python
Last synced: 11 May 2026
https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp
Last synced: 11 May 2026
https://github.com/daksh90a/wine-quality-analysis
The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.
matplotlib-python numpy pandas seaborn
Last synced: 12 May 2026
https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
Last synced: 12 May 2026
https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
data-analysis matplotlib numpy pandas python-programming tkinter-python
Last synced: 13 May 2026
https://github.com/andydevs/optipy
Optimization algorithms written in python
numpy optimization optimization-algorithms
Last synced: 13 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 2026
https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
codecov github-actions numpy pandas python streamlit unittest
Last synced: 14 Jun 2026
https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
Last synced: 15 Jun 2026
https://github.com/jayemscript/lab-to-code
A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.
bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn
Last synced: 19 Jun 2026
https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
Last synced: 20 Jun 2026
https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
Last synced: 23 Jun 2026
https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
Last synced: 23 Jun 2026
https://github.com/charlenry/python_math_machine_learning
Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning
algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time
Last synced: 25 Jun 2026
https://github.com/charlenry/python_data_science
Mes notebooks de travaux pratiques sur Python pour la Data Science
analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation
Last synced: 25 Jun 2026
https://github.com/huggon1/ml-algorithm-implementations
Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.
cuda machine-learning numpy pytorch vision-transformer
Last synced: 28 Jun 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
Last synced: 20 Jan 2026
https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch
Last synced: 14 May 2026
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: 11 Apr 2026
https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
Last synced: 11 Apr 2026
https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 01 Aug 2025
https://github.com/npodlozhniy/dl-tinkoff
This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech
Last synced: 08 May 2026
https://github.com/frauvate/cheatsheet
This project provides ready-to-use templates for machine learning base models. This repo, which contains templates of common models in Jupyter notebook format, aims to help users quickly implement these models and easily adapt them to their own projects.
machine-learning machinelearning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/nishantksingh0/twitter-sentiment-analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
kaggle-dataset matplotlib-pyplot nlp numpy pandas sklearn tensorflow transformer
Last synced: 11 Apr 2026
https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch
Last synced: 11 Apr 2026
https://github.com/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
Last synced: 26 Aug 2025
https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/yahiazakaria445/sentiment-analysis-using-lstm
A Sentiment analysis NLP project using LSTM model
matplotlib nltk numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/alaazameldev/text-based-search-engine
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval
chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer
Last synced: 20 Jan 2026
https://github.com/kartmaan/prime-number-analysis
Analysis notebook on prime numbers
analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends
Last synced: 17 May 2026
https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api
Last synced: 11 May 2026
https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
flask flask-api flask-cors numpy pandas scikit-learn tensorflow
Last synced: 05 Jan 2026
https://github.com/aleandropresta/data-science-projects
A collection of my Data Science projects
data-mining data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 26 May 2026
