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/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
Last synced: 10 Apr 2026
https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/yhunlu/data-analysis
Data Analysis
matplotlib numpy pandas seaborn
Last synced: 01 May 2026
https://github.com/the-developer-306/neural-style-transfer
Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.
deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19
Last synced: 01 May 2026
https://github.com/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
Last synced: 10 Apr 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/ngangawairimu/automating_farming_analysis
This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.
matplotlib-pyplot numpy pandas python seaborn sqlite
Last synced: 10 Apr 2026
https://github.com/nihalrt/lung-cancer-data-analysis-
This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.
matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/rooneyrulz/cat-dog-classifier
Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.
artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2
Last synced: 10 Apr 2026
https://github.com/sgb31/csv-retrival-based-rag
Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.
generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers
Last synced: 19 Jun 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-surface-graph
A demo of creating a 3d surface graph.
3d graph matplotlib numpy pandas python surface web
Last synced: 10 Apr 2026
https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
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https://github.com/ramarav/house_price_prediction
Machine learning approach for house price prediction using tensorflow.
jupyter-notebook jupyter-notebooks keras keras-models keras-neural-networks keras-tensorflow numpy python python-3 python3 tensorflow
Last synced: 10 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/amruta33/housing_price_prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
Last synced: 28 Apr 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
machine-learning numpy python seaborn
Last synced: 09 May 2026
https://github.com/farhad-here/median-performance-comparison
Benchmarking the performance of median calculation using vanilla Python vs NumPy.
data-analysis matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
https://github.com/jaweria-b/eda-basketball
The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
matplotlib numpy python streamlit
Last synced: 10 Apr 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
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https://github.com/ahmedabdalkreem/connected_component_labeling
Technique used to detect small object in the image like shapes and number can used this technique in OCR.
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https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
Last synced: 11 Apr 2026
https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/hussain-7/emotion_detection-master
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
keras-tensorflow matplotlib numpy opencv-python tensorflow
Last synced: 08 May 2026
https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
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https://github.com/paulbrenker/decision-tsp
Scripts from a university data analysis project to approximate the decision tsp problem using heuristics and machine learning
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https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
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Last synced: 11 Apr 2026
https://github.com/yash-rewalia/airbnb_eda_pandas
The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.
data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/germanocastanho/python-notes
Personal collection of Python Notes, tips, and code snippets 🐍
data-science numpy pandas programming python
Last synced: 01 Sep 2025
https://github.com/yanukadeneth99/numpy-neural-network
A Neural Network made using Numpy
ai deep-learning deep-neural-networks ml numpy python
Last synced: 11 Apr 2026
https://github.com/lilivalgo/ml_time_series
This project uses time series data to predict corn crop yield in Colombia
matplotlib numpy pandas scipy seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/pardhuu66/college-id-validator
FastAPI-based offline College ID Validator with Docker support
base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn
Last synced: 11 Apr 2026
https://github.com/zuhairzia/titanic-survival-project
This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.
csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/privatepeople/machinelearning-deeplearning
머신러닝과 딥러닝 공부를 위한 저장소
deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/djdhairya/crop-recommendation
Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.
adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
Last synced: 13 Apr 2026
https://github.com/alexixrugis/perceptronvisualization
Visualization of training and operation of a perceptron written from scratch in numpy
ai machine-learning numpy python
Last synced: 11 Feb 2026
https://github.com/mehradi-github/ref-jupyter-2510
using python in machine learning
matplotlib numpy pandas python sklearn statistics
Last synced: 11 Apr 2026
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/varkenvarken/blempy
small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.
Last synced: 13 Jan 2026
https://github.com/misszeferino/erp-data-analysis
Data Analysis - ERP Data (merge and outliers)
data-analysis data-visualization matplotlib merge numpy outlier-detection python scipy
Last synced: 11 Apr 2026
https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
kaggle-dataset numpy pandas-dataframe python3 sklearn
Last synced: 16 Apr 2026
https://github.com/djdhairya/breast-cancer-prediction
accuracy aiml machine-learning mean numpy pandas pkl prediction python streamlit
Last synced: 11 Apr 2026
https://github.com/mrktsm/spam-email-recognizer
Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.
data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model
Last synced: 09 Apr 2026
https://github.com/lmizner/grokking_data_science
Coding practice for basic data science interview questions in Python
data-science numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/samir-atra/license-plate-recognition
License plate recognition system
imageai-library knn lpr numpy object-detection opencv python tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
Last synced: 11 Apr 2026
https://github.com/gregoritsch3/ml_eda_clustering_aidassessment
An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.
anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics
Last synced: 16 Apr 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3
Last synced: 13 Apr 2026
https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
Last synced: 11 Apr 2026
https://github.com/charles-l/rayboi
a raytracer written in futhark/python
futhark numpy pathtracing python3 raytracing
Last synced: 19 Apr 2026
https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/amanyadav-07/customer-churn-prediction
Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.
accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 11 Apr 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/chintanboghara/rocket-simulation
A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.
docker flask html javascript numpy plotly python
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
Last synced: 11 Apr 2026
https://github.com/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
Last synced: 11 Apr 2026
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
Last synced: 11 Apr 2026
https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 11 Apr 2026
https://github.com/shreyasmehta05/sortsync
A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.
Last synced: 04 Feb 2026
https://github.com/mani-prakash-n-r/stock_market_prediction_system
This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow
lstm matplotlib numpy python sckiit-learn tensorflow yfinance
Last synced: 11 Apr 2026
https://github.com/lijesh010/ml_project_data_preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn
Last synced: 11 Apr 2026
https://github.com/arn4/labtools
Package with useful scripts for Physics Laboratory Courses
numpy python3 scipy uncertainties
Last synced: 05 Jan 2026
https://github.com/alexsolov28/ml_course
Курс "Технология машинного обучения"
colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2025
https://github.com/matiassenia/modelo-prediccion-temperatura
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones
adam-optimizer machine-learning numpy python python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/krishbharadwaj5678/virtualmouse
computer-vision cv2 cvzone hand-tracking mouse numpy opencv python threading time virtual-mouse
Last synced: 11 Apr 2026
https://github.com/apfirebolt/numpy-and-pandas-examples
Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python
data-analysis jupyter-notebook numpy pandas python
Last synced: 17 Apr 2026
https://github.com/sofiakhutsieva/analytical_report_for_hr_department
Подготовка аналитического отчета (SQL) (Проект в skillbox), 2020 г.
analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy
Last synced: 06 May 2026
https://github.com/binakot/python3-course
course data-science learning matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/patilsukanya/assignment-04.-simple-linear-regression-q1
Used libraries and functions as follows:
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-testing numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statmodels t-score
Last synced: 09 Apr 2026
https://github.com/patilsukanya/p02.-normal-distribution-of-stocks
Used libraries and functions as follows:
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Last synced: 01 May 2026
https://github.com/abideen-olawuwo/bulldozer-prediction
Predicting the Future Price of Bulldozer
machine-learning matplotlib numpy pandas python random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026
https://github.com/mohamed-taha-essa/hands-on-machine-learning-sikitlearn
Machine Learning & Deep learning
linear-regression machine-learning matplotlib numpy pandas-dataframe python sickit-learn
Last synced: 10 May 2026
https://github.com/venkatnvs/deep_learning-nn-python
Deep learning and Neural networks
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/lohiyah/real-estate-price-forecast
A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.
flask matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/pavanreddy565/infosys_python_for_datascience
Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.
Last synced: 29 Apr 2026
