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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.

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 18 Nov 2024

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 18 Nov 2024

https://github.com/sc0v0ne/ai-discipline-work

AI Discipline Work - Movie recommendation

jupyter-notebook machine-learning numpy pandas python python3

Last synced: 08 Nov 2024

https://github.com/danchik12/habr_scraping

Parsing Habr articles and saving in csv format

csv fake-useragent numpy pandas parser python3

Last synced: 18 Nov 2024

https://github.com/aminkhavari78/-maternal-health-risk-data-set

In this part I'm working on Maternal Health Risk Prediction

data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn

Last synced: 18 Nov 2024

https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 18 Nov 2024

https://github.com/iusztinpaul/airbnb-data-analysis

Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.

airbnb data datanalysis datascience machine-learning numpy pandas python

Last synced: 19 Nov 2024

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

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

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

Last synced: 19 Nov 2024

https://github.com/youssefali11997/100-numpy-exercises

100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.

data-science numpy python3

Last synced: 09 Nov 2024

https://github.com/jovicdev97/financial-data-analytics

using numpy and pandas to analyze a synthetic loan dataset with python

data-analysis matlabplot numpy pandas plotting python seaborn

Last synced: 18 Nov 2024

https://github.com/azaz9026/house_price_prediction_with_machine_learning

🏡 House Price Prediction with Machine Learning Project 🤖💰 Seeking to revolutionize the real estate industry with cutting-edge technology? Explore my latest project, where I leveraged machine learning algorithms to predict house prices accurately.

linear-regression machine-learning-algorithms metaploit numpy pandas pickle python seaborn visualization

Last synced: 18 Nov 2024

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 18 Nov 2024

https://github.com/azaz9026/loan_approval_prediction

Welcome to the Loan Approval Prediction repository! This project aims to build a predictive model that can determine whether a loan application should be approved or denied based on various features. Purpose The goal of this repository is to develop a machine learning model that can accurately predict loan approval decisio

data data-analysis data-visualization eda machine-learning numpy pandas python statistics

Last synced: 18 Nov 2024

https://github.com/azaz9026/python_library_numpy

NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...

array jupyter-notebooks numpy python3

Last synced: 18 Nov 2024

https://github.com/azaz9026/car_price_prediction_model

This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering

Last synced: 18 Nov 2024

https://github.com/azaz9026/eda

Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.

data-cleaning data-visualization encoding machine-learning matplotlib numpy pandas plotly python3 seaborn sklearn-library

Last synced: 18 Nov 2024

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

Last synced: 10 Nov 2024

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 18 Nov 2024

https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: 18 Nov 2024

https://github.com/quickheaven/scs-3251-statistics-for-data-science

Repository dedicated to Term Project of UofT Statistics for Data Science Course

data-science jupyter-notebook logistic-regression numpy pandas python

Last synced: 18 Nov 2024

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/electric-vehicles-dataset-data-analaysis

Performed Data Cleaning and Data Analysis of the Electric Vehicles Dataset to find the relationship between the features in the dataset and visualized the findings using matplotlib and seaborn.

data-analysis-python data-visualization electric-vehicle feature-analysis matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/california-housing-prices-data-analysis

Performed Data Cleaning and Data Analysis of the California Housing Prices Dataset to find the relation between the housing prices at a block and the amenities and facilities stated in the dataset such as total number of rooms, ocean proximity etc.

data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 18 Nov 2024

https://github.com/5hraddha/ice-video-games-sales-analysis

Analysis of video game sales data of an online store Ice, which sells video games all over the world & identify patterns that determine whether a game succeeds or not.

data-visualization matplotlib numpy pandas requests-module scipy seaborn

Last synced: 10 Nov 2024

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 18 Nov 2024

https://github.com/prithvi45/machine-learning-prerequisites

Basics to Advance concepts on Numpy, Pandas, Matplotlib

matplotlib numpy pandas python

Last synced: 18 Nov 2024

https://github.com/bhanuprakashnani/scit-tasks

Tasks for the SCIT Work Shop.

numpy python3

Last synced: 08 Nov 2024

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 10 Nov 2024

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 18 Nov 2024

https://github.com/mattmoony/ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh

Last synced: 18 Nov 2024

https://github.com/hunar4321/multiple-regression

A simple intuitive method for multiple regression

linear-regression multiple-regression numpy regression

Last synced: 14 Nov 2024

https://github.com/5hraddha/sda-megaline-the-best-plan

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.

data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis

Last synced: 10 Nov 2024

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 10 Nov 2024

https://github.com/armandomtz05/optikit

Solution of the paraxial wave equations using different coordinates systems

fourier-transform holography numerical-methods numpy optics-code optics-simulation pillow

Last synced: 11 Nov 2024

https://github.com/gopikrsmscs/mycinepick-recommendation-system

MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.

collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit

Last synced: 11 Nov 2024

https://github.com/sudip-13/plant-disease-detection

Plant disease detection from leaf uses machine learning to identify diseases for early intervention

cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving

Last synced: 11 Nov 2024

https://github.com/sweta2501/ml

Consist of ML projects based on Python along with DataSheets

machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model

Last synced: 18 Nov 2024

https://github.com/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 11 Nov 2024

https://github.com/ujjvalrajput/data-analysis-python-practise

Practise with matplotlib, pandas, and numpy.

matplotlib numpy pandas python

Last synced: 11 Nov 2024

https://github.com/hghyhghy/notebook

Repo consist numpy , matplotlib and pymongo aggression

jupyter-notebook matplotlib numpy pymongo python-3

Last synced: 11 Nov 2024

https://github.com/crvargasm/moore-penrose-matrix

A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.

numerical-methods numpy python

Last synced: 12 Nov 2024

https://github.com/crvargasm/metnumun2021i

Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I

matplotlib numerical-analysis numpy pandas python quantopian

Last synced: 12 Nov 2024

https://github.com/blankscreen-exe/triple-trial-card-maker

Triple Triad Card maker for a game inspired by Final fantasy

card-game numpy opencv python tripletriad

Last synced: 11 Nov 2024

https://github.com/ivancaez/analisis_dades_microbit

Data analysis of Micro:bit with maplotlib, numpy and pandas

csv jupyter-notebook matplotlib microbit numpy pandas python

Last synced: 12 Nov 2024

https://github.com/yeonjaee/statistics

통계기초 with using python libs

matplotlib numpy pandas statistics

Last synced: 11 Nov 2024

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 11 Nov 2024

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Nov 2024

https://github.com/shivamgupta92/analysis-of-market-trends-using-deep-learning

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

deep-neural-networks keras mysql numpy pandas python3 scikit-learn-api tensorflow time-series-analysis yfinance-api

Last synced: 12 Nov 2024

https://github.com/thinogueiras/python-projetos

Python - Projetos e estudos diversos.

numpy pandas python selenium-webdriver

Last synced: 16 Nov 2024

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 16 Nov 2024

https://github.com/mikma03/simulation_modeling

Simulation models using Python. Practical use of Python in real-world examples and additional resourses.

matplotlib numpy pandas portfolio python simulation stocks

Last synced: 11 Nov 2024

https://github.com/mikma03/datascience_python_datacamp

DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.

data-analysis data-science datacamp datascience numpy pandas python

Last synced: 11 Nov 2024

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: 11 Nov 2024

https://github.com/youssefali11997/free-style-coding

Scripts written as practice, trying new technology or just playing with the code !

bash javascript numpy python3 ruby-on-rails scripts vuejs

Last synced: 09 Nov 2024

https://github.com/jabhij/eda_experiments

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis

Last synced: 16 Nov 2024

https://github.com/anjasfedo/data-analysis

Repo to Explore Data Analysis

data-analysis numpy

Last synced: 16 Nov 2024

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: 12 Nov 2024

https://github.com/harmanveer-2546/house-price-prediction-

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 svm

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/reducing-data-entries

Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.

csv data data-entry delete-data excel numpy pandas python

Last synced: 12 Nov 2024

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

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/eda-on-indian-railways

Indian Railways is a statutory body under the ownership of the Ministry of Railways of the Government of India that operates India's national railway system. As of 2023, it manages the fourth largest national railway system by size with a track length of 132,310 km, running track length of 106,493 km and route length of 68,584 km.

clean-data eda exploratory-data-analysis geometry geopandas indian-railways json linestring matplotlib numpy os pandas plotly python railway seaborn shapely train visualization

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/diagnosis-of-pneumonia-by-cnn-classifier

The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.

binary-accuracy dropout flatten keras loadimg matplotlib maxpooling2d numpy python regularizers roc-curve seaborn sequential-models tensorflow vgg16

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/student-performance-in-exam

Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.

classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization

Last synced: 12 Nov 2024

https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization

Last synced: 12 Nov 2024

NumPy Awesome Lists
awesome-jax 189 awesome-cuda-and-hpc 427 awesome-ebooks 106 awesome-max-mojo 183 awesome-numpy 32 practice-numpy-programming-courses 35 numpy-free-tutorials 30 practice-numpy-programming-projects 31
NumPy Categories
Blogs 450 Frameworks 267 Learning Resources 103 Applications 91 Libraries 85 Summary 51 Videos 47 Models and Projects 45 Machine Learning 37 More Free Tutorials 33 More Projects 33 More Courses 32 Tutorials and Blog Posts 24 Web 21 Jobs and Interview 20 Programming Language 20 Scientific Computation 16 Performance Benchmark 16 Community 13 Data Structure and Algorithm 12