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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/prakashjha1/stock-investment-analysis

Stock Investment Analysis Project can help investor to select the better performing stocks.

data-analysis data-science numpy pandas pandas-datareader parallel-programming python

Last synced: 15 Nov 2024

https://github.com/prakashjha1/email-sms-spam-classifier

Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.

machine-learning natural-language-processing numpy pandas python

Last synced: 15 Nov 2024

https://github.com/agoose77/midas-tape

An Awkward-Forth backed reader of MIDAS tape files

awkward-array awkward-forth hep midas numpy tape

Last synced: 15 Nov 2024

https://github.com/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 20 Nov 2024

https://github.com/ahmad-ali-rafique/numpy-mastery-notebook

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python

Last synced: 15 Nov 2024

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 20 Nov 2024

https://github.com/emmanueltobi/ai-academy-university

Code samples from the Intel Nervana AI Academy University held in FUTA

ai classification-algorithm dataset intel numpy regression regression-models sklearn

Last synced: 17 Nov 2024

https://github.com/bhuvilol/objdetect_img

Object Detecttion from a image input

numpy opencv python3 pytorch yolov8

Last synced: 17 Nov 2024

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: 15 Nov 2024

https://github.com/hanzopgp/randomkagglesolving

Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow

Last synced: 15 Nov 2024

https://github.com/w-edward/youtube-keyword-popularity-analyzer

An effort to discover the top trending keywords on Youtube.

data-analysis node-js numpy python webscraping youtube-api

Last synced: 15 Nov 2024

https://github.com/moeeinaali/ce282-la

Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)

linear-algebra matplotlib numpy pandas python

Last synced: 17 Nov 2024

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 20 Nov 2024

https://github.com/archtaqi/intro2py

Basic Python for Data Science (WIP)

jupyter-notebook matplotlib numpy pandas python3 seaborn

Last synced: 15 Nov 2024

https://github.com/beberiche/jeon-woo-chi

지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스

aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin

Last synced: 17 Nov 2024

https://github.com/dhrupad17/python-for-data-science-a-z

This is a practice Repository consisting of all the notebooks I have practiced to learn python for data science from basics to Advance.

flask matplotlib-python numpy pandas-python python python-lambda seaborn-python streamlit

Last synced: 15 Nov 2024

https://github.com/vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent

Last synced: 17 Nov 2024

https://github.com/josewebdev2000/mean-variance-calculator

My Solution to the first challenge of the Data Analysis with Python certification of Freecodecamp

data-science freecodecamp-challenge numpy python

Last synced: 17 Nov 2024

https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset

Training and Evaluating classification and regression model use cases on the Airbnb dataset.

data-science machine-learning numpy pandas plotly python pytorch sklearn

Last synced: 17 Nov 2024

https://github.com/rezapace/number-generator

Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.

colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek

Last synced: 17 Nov 2024

https://github.com/rezapace/machine-learning-sound-detection

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition

Last synced: 17 Nov 2024

https://github.com/batrick-swaistan/nalaiya_thiran

Nalaiya Thiran IBM Course Training

matplotlib numpy pandas-dataframe python

Last synced: 17 Nov 2024

https://github.com/jjwizardmp/gallery-art-problem

Resolve the Gallery Art Problem implement BFS and Delaunay Triangulation

jupyter jupyter-notebook jupyterlab mathplotlib numpy pandas python python-env python3 scipy shapely

Last synced: 17 Nov 2024

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 17 Nov 2024

https://github.com/qanastek/parseur-pdf

https://trello.com/b/SbT2XGyF/g%C3%A9nie-logiciel-scrum

beautifulsoup4 numpy python

Last synced: 17 Nov 2024

https://github.com/lc-rezende/eqx_boston_dataset

Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.

data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn

Last synced: 17 Nov 2024

https://github.com/tzepart/choosing-oil-region

Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.

matplotlib ml numpy pandas seaborn sklearn

Last synced: 17 Nov 2024

https://github.com/ayushdutta-ai/face-recognition-model

A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.

face haar-cascade lbph-face-recognizer numpy opencv pillow

Last synced: 17 Nov 2024

https://github.com/harshs472/real-time-object-detection

Real time object detection that detects approximately 80 objects!!!!

coco numpy python yolov3

Last synced: 17 Nov 2024

https://github.com/davityak03/basics-of-python-

In this we have done multiple programs in python so as to develop the basic skill sets in python

array dictionary lists matrix numpy pandas programming python sets

Last synced: 17 Nov 2024

https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml

A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs

adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow

Last synced: 17 Nov 2024

https://github.com/chandkund/image-classification-using-the-mnist-dataset

Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!

computer-vision data-science machine-learning matplotlib numpy pandas python

Last synced: 17 Nov 2024

https://github.com/chandkund/time-series-forecasting

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

arima-forecasting arima-model data-science numpy pandas python seaborn

Last synced: 17 Nov 2024

https://github.com/chandkund/loan-eligibility-prediction

This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.

data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn

Last synced: 17 Nov 2024

https://github.com/chandkund/customer-segmentation

Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies

kmeans-clustering matplotlib numpy pandas python seaborn

Last synced: 17 Nov 2024

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 17 Nov 2024

https://github.com/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 17 Nov 2024

https://github.com/kimpro82/myinvestmentmodules

Someday these will be an integrated trading system, but not now. So I am sad.

investment monte-carlo-simulation numpy python r vba xing-api

Last synced: 17 Nov 2024

https://github.com/bottomsnode/sct_ml_1

This repository contains a straightforward implementation of a linear regression model for predicting house prices. The model takes into account three key features: the square footage of the house, the number of bedrooms, and the number of bathrooms.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 17 Nov 2024

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/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/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/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/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/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/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/pythondeveloper6/store-sales-eda

simple EDA with some insights on Store Sales

data-analysis eda matplotlib numpy pandas seaborn

Last synced: 18 Nov 2024

https://github.com/pythondeveloper6/matplotlib-for-beginners

how to visualize your data using matplotlib

data-analysis matplotlib numpy pandas python visualization

Last synced: 18 Nov 2024

https://github.com/jai0212/course-selector-uoft

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students.

beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx

Last synced: 18 Nov 2024

https://github.com/jai0212/ai-virtual-painter

Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours

artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python

Last synced: 18 Nov 2024

https://github.com/aminkhavari78/reinforcementlearning

Try to Implement different Envirnment and RL algorithms

ipython matplotlib numpy pygame pytorch randomsearch reinforcement-learning snake

Last synced: 18 Nov 2024

https://github.com/philipyip1988/miniconda

This set of tutorials covers installation of Miniconda on Windows 11 and configuring it to use the conda-forge channel and libmamba solver allowing for the creation of custom Python environments. A seperate Python environment will be created for the idle, thonny, ipython, jupyterlab, vscode, pycharm and spyder Python IDEs.

anaconda conda environment-variables idle ipython jupyterlab matplotlib miniconda miniconda-environments numpy pandas powershell pycharm python spyder thonny vscode windows

Last synced: 18 Nov 2024