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/boobshash/numpy-neural-net
Simple and extendable library for deep learning in numpy
deep-learning mlp-classifier numpy
Last synced: 20 Jul 2025
https://github.com/kisaa-fatima/object-detection-using-yolo-v8
From this project I gained practical experience in AI, computer vision, and GUI development, while also understanding the importance of automation in retail processes.
computer-vision gui numpy opencv-python pil roboflow tkinter yolov8
Last synced: 18 May 2026
https://github.com/jaewonson37/python_programming
algorithms data-structures encapsulation exception-handling functions loop matplotlib monte-carlo numpy object-oriented-programming pandas prototyping pseudo-random-number-generation python recursion top-down unit-testing visualization webcrawling
Last synced: 09 May 2026
https://github.com/amiridk/statics-and-algebra-in-python
simple and important statics operations and Famous statistical problems , also algebra operations
algebra itertools matplotlib numpy pandas python scipy seaborn static
Last synced: 24 Feb 2025
https://github.com/nikita620/churn-prediction-using-ann
minor project for Python and AI
artificial-neural-networks matplotlib numpy pandas
Last synced: 03 May 2026
https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction
Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.
decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost
Last synced: 02 May 2026
https://github.com/mrhoban/python-syntax-medical-insurance-project
datascience matplotlib numpy python
Last synced: 04 May 2026
https://github.com/rahulchouhan1/air-quality-data-in-india
India Air Quality Analysis (2015-2024)
matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/karthik9273/electric-vehicle-market-segmentation
Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
Last synced: 18 Apr 2026
https://github.com/petridhsg/firewall-data-classification
A single implementation of a machine learning algorithm for a firewall data classification task
machine-learning matplotlib numpy python seaborn
Last synced: 01 May 2026
https://github.com/avs123a/image-edge-detection-demo
Demo of image edges detection using different operators, norms and custom masks
demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3
Last synced: 04 Feb 2026
https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
Last synced: 17 Apr 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/redreaper420/secret-qr-code-injector
Script for secret QR code injection into PNG images.
image-manipulation numpy pillow png python qrcode steganography
Last synced: 14 May 2026
https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. ποΈ
artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
Last synced: 07 Apr 2026
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026
https://github.com/yusufterzii/numpybasics
numpy numpy-arrays numpy-exercises
Last synced: 18 May 2026
https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
Last synced: 07 Apr 2026
https://github.com/bishopce16/world_weather_analysis
The projectβs objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
Last synced: 13 Apr 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
Deep learning model that predicts the phase of the moon πππππππ
artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
Last synced: 07 Apr 2026
https://github.com/vbhvsingh0/cdc_immunization
This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.
data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
Last synced: 05 May 2026
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
Last synced: 05 Apr 2025
https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/isa1asn/mnist-neural-net
Applying neural networks on the MNIST dataset (from scratch & using tf)
from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
Last synced: 12 Apr 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
Last synced: 27 Apr 2026
https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/alexsolov28/vkrb
ΠΡΠΏΡΡΠΊΠ½Π°Ρ ΠΊΠ²Π°Π»ΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° Π±Π°ΠΊΠ°Π»Π°Π²ΡΠ° Β«Π‘ΠΈΡΡΠ΅ΠΌΠ° Π°Π½Π°Π»ΠΈΠ·Π° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ PandasΒ»
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
Last synced: 20 Jan 2026
https://github.com/rohansahu15/stackoverflow-hashtag-generator
ai machine-learning nlp numpy pandas
Last synced: 18 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! π©Ί This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/imdadmiran17/data_analysis_exercise
data-analysis numpy numpy-arrays numpy-exercises python3
Last synced: 17 May 2026
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
Last synced: 07 Apr 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
duplicates fast numexpr numpy strides
Last synced: 07 Mar 2026
https://github.com/subhamsarangi/visualize
Data Visualizations using Python
bokeh matplotlib numpy pandas pyplot python3 seaborn
Last synced: 07 Apr 2026
https://github.com/hbmartin/mathjs-to-func
Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
Last synced: 17 May 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/jose-zothner-meyer/finance-individual-loans
A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.
credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn
Last synced: 09 Apr 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/nishumehta/supermart-grocery-sales-retails-analytics
Tableau Dashboard Link :
data-analysis data-cleaning data-visualization jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 29 Apr 2026
https://github.com/lavkush-patel9/mnist_dataset_handwritten_digit_classifier_project-lavkush_patel
This is the Ai/ML Project Repo. here using MNIST DATASET from Keras, Tensorflow and recognise hand written digit
keras machine-learning numpy python3 tensorflow
Last synced: 29 Apr 2026
https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/chandadiya2004/movie-recommendation-system
A Movie Recommendation System built using TfidfVectorizer and cosine similarity. The model processes a large dataset of movies and recommends similar movies based on a given input movie by analyzing textual features and calculating similarity scores.
cosine-similarity numpy pandas python sklearn tfidf-vectorizer
Last synced: 29 Apr 2026
https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
data-visualization eda matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/x-nimesh/panoramer-dockerized
Panoramer is a cutting-edge panoramic image stitching web application designed to transform your images into stunning, professional-quality panoramas. Whether you're a seasoned photographer or a hobbyist, Panoramer's intuitive interface and precise alignment tools make it easy for users of all skill levels to create seamless panoramas.
flask image-processing numpy python react
Last synced: 29 Apr 2026
https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
Last synced: 29 Apr 2026
https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning
Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization
Last synced: 29 Apr 2026
https://github.com/snehasunilnair/image-processing-projects
Image pre-processing techniques using OpenCV.
Last synced: 29 Apr 2026
https://github.com/gvatsal60/ds-on-kaggle
A collection of data science projects, experiments, and insights from Kaggle competitions and datasets
data data-science data-visualization numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/andryadsm/asset-analyzer
π Project Asset Analyzer (Python)
commodities data-analysis data-visualization economics financial-markets investing matplotlib numpy pandas python seaborn stock-market strategy trading
Last synced: 29 Apr 2026
https://github.com/sophiaas/transform-datasets
Datasets for modeling transformations in data.
Last synced: 29 Apr 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score
Last synced: 30 Apr 2026
https://github.com/hansalemaos/create_empty_image
Creates new/empty cv2 images/numpy arrays
Last synced: 30 Apr 2026
https://github.com/priyansusahoo/face_recognition
Major Project: Attendance system project using Face Recognition
face-recognition numpy opencv-python python3
Last synced: 30 Apr 2026
https://github.com/omarsaad21/it-salary-eda
A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset
data explotary-data-analysis juypter-notebook numpy pandas python visualization
Last synced: 30 Apr 2026
https://github.com/shohail-dev/python-sales-analysis
Python analysis project :- Analyze Diwali sales data to improve customer experience and sales .
matplotlib numpy pandas python-lambda python3 seaborn
Last synced: 30 Apr 2026
https://github.com/nikhilsree5/walmartcasestudy
Analysis of Customer Spending Habits at Walmart Inc
clt eda numpy pandas python3 statistics visualization
Last synced: 30 Apr 2026
https://github.com/vishal-verma-96/honey_production_analysis_using_python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
Last synced: 30 Apr 2026
https://github.com/maguids/supervised-learning---video-games
This project consists on exploratory data analysis and the application of supervised learning models for classification using a Video Games dataset. Second Semester of the First Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
jupyter-notebook machine-learning matplotlib numpy pandas scikit-learn seaborn supervised-learning
Last synced: 30 Apr 2026
https://github.com/padmavathi2905/machine-learning-projects
Sentiment and Regression Analysis
machine-learning matplotlib numpy pandas python regression-analysis sentiment-analysis visualization
Last synced: 30 Apr 2026
https://github.com/pramodyasahan/grade-predictor
This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.
machine-learning matplotlib numpy pandas python regression scikit-learn
Last synced: 30 Apr 2026
https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.
classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python
Last synced: 30 Apr 2026
https://github.com/tsar123/coffee-quality-analysis
machine learning using RandomForestRegressor and dataset with coffee data
coffee ml numpy pandas randomforestregressor regressor-models sklearn
Last synced: 30 Apr 2026
https://github.com/shakhthi/network_security
matplotlib numpy pandas pymongo seaborn sklearn
Last synced: 30 Apr 2026
https://github.com/alirezasaharkhiz9/python-for-dataanalysis
The educational repository for data manipulation and analysis with the libraries numpy, pandas, and matplotlib.
Last synced: 30 Apr 2026
https://github.com/fikri-rouzan/data-science-mathematics
Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.
jupyter-notebook matplotlib numpy pandas python scipy seaborn
Last synced: 08 Jun 2026
https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-
This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. π Tools & Techniques Used: Power BI
dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql
Last synced: 30 Apr 2026
https://github.com/gabboraron/python_nyelvtan
Egy python nyelvi elemekkel fogallkozΓ³ kurzus jegyzete.
ai matplotlib-pyplot numpy pandas
Last synced: 30 Apr 2026
https://github.com/yashbhutwala/pong-ai
Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment
deep-q-learning numpy openai-gym policy-gradient pong python tensorflow
Last synced: 30 Apr 2026
https://github.com/favalos/myway-to-nn
Project to store my understanding of Neural Networks.
jupiter-notebook neural-network numpy
Last synced: 30 Apr 2026