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/nitish2773/food-delivery-delay-analyzer
matplotlib-pyplot numpy pandas python3 scipy-stats seaborn
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https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
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https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/harmanveer2546/recognizing-digits
I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.
dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential
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https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
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genderclassification genderdetection numpy pil python resnet18 torch torchvision
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imagesegmentation matplotlib numpy opencv python watershed-algorithm
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https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
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https://github.com/batthulavinay/which-anime-dominates-the-world
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data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/intscription/machine-learning
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projects related with data science and machine learning projects.
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kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
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https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
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https://github.com/mnagaharshithrao/diamondpriceprediction
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use LSTM model for text generation
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Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
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Data Science and Machine Learning
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An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.
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End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
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https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
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https://github.com/aritrakar/ai-projects
🤖A centralized collection of links to my AI projects roughly divided by topic.
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https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
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https://github.com/kzon94/torn-market-analyzer
Streamlit app that parses Torn Add Listing text, matches items with a custom dictionary, fetches market data via the public API, and generates KPIs and price recommendations using a modular Python analytics pipeline.
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https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
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https://github.com/sadegh15khedry/titanic-survival-prediction
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https://github.com/abhisek-13/whatsapp-chat-analyzer
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data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn
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https://github.com/kernel-loophole/numerical-computing
Numerical Computing use python(Numpy,metplotlib).
numpy python quantum-computing
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https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
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https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
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https://github.com/5hraddha/eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
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https://github.com/anuraganalog/navie-bayes
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https://github.com/mahendra077/linear-regression
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https://github.com/nagipragalathan/zk-connect
In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
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https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
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https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
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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
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https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
Last synced: 11 Mar 2025
https://github.com/gaurav-0211/seaborn-for-data-visualization
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data-visualization jupyter-notebook matplotlib numpy pandas-dataframe seaborn
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https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
Last synced: 30 May 2026
https://github.com/pd2871/streamlit_automl
Auto Exploratory Data Analysis using Streamlit App
matplotlib numpy pandas python streamlit streamlit-webapp
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https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api
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https://github.com/renan-siqueira/reinforcement-learning-cart-pole
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
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https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
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https://github.com/iaroslavbelavskii/statkemapp
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https://github.com/samuele-lolli/data-analytics-techniques
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Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
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https://github.com/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
Word Association and Mutual Information Project
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https://github.com/fabriziomusacchio/ann_with_numpy
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Brain Stroke Prediction according to age and Health Condition.
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https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
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https://github.com/vishant007/annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
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https://github.com/supreme-gg-gg/beam-analysis
Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.
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https://github.com/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).
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https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
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https://github.com/karthikmprakash/karthikmprakash
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https://github.com/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
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https://github.com/lesiaukr/mathematic_for_cs_colab_hw
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https://github.com/adamouization/python-machine-learning-data-science-notes
:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.
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Last synced: 11 Apr 2026
