Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2024-11-15 00:20:36 UTC
- JSON Representation
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/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
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/s-h-i-v-i-s/bangalore-housing-price-prediction
A Machine Learning Project to predict Bangalore House Prices.
jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn
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/alefair/ds
Data Science projects
ipython jupyter matplotlib numpy pandas python sklearn
Last synced: 18 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/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/world-best-cities
Ranking of cities on social, environmental and economic factors.
best-cities-to-live-in cities continent data-loading exploratory-data-analysis geopandas hovering india matplotlib numpy os pandas plotly pre-processing seaborn visualization world world-map
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
https://github.com/harmanveer-2546/covid-19-chances-detection
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
covid-19 covid-data logistic-regression matplotlib mlp-classifier numpy pandas python random-forest seaborn sklearn-library xgboost
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/heart-failure-prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xgboost
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food
For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.
mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg
Last synced: 12 Nov 2024
https://github.com/sisoudev/facialrecognition
Data collected thanks to dear misbah4064, algorithm for recognizing facial expressions with machine learning, still under construction.
machine-learning numpy python python3
Last synced: 12 Nov 2024
https://github.com/analyticalmonk/neuralnetwork_fromscratch
neural-network neural-network-example numpy python python-3
Last synced: 08 Nov 2024
https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
Last synced: 16 Nov 2024
https://github.com/carlosvinimsouza/dataanalysiswithpython
Learn Data Analysis using Libs Python (Numpy, Pandas, Matplotlib and Seaborn)
data-analysis data-science free-code-camp matplotlib numpy pandas python python3 seaborn
Last synced: 12 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/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 10 Nov 2024
https://github.com/zborovskaanna/grosery_store_sales_analysis
Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau
data-analysis data-visualization matplotlib numpy pandas python seaborn tableau
Last synced: 11 Nov 2024
https://github.com/yeonjaee/statistics
통계기초 with using python libs
matplotlib numpy pandas statistics
Last synced: 11 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/guptamudit/whatsapp-chat-analyser
Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.
matplotlib numpy pandas python seaborn
Last synced: 14 Nov 2024
https://github.com/rayniel95/erecog
Simple ethnicity classifier using transfer learning with VGG. // unfinished
artificial-intelligence artificial-neural-networks artificialintelligence deep-learning deeplearning-ai ethnicity-classifier fairface-dataset jupyter-notebook keras machine-learning machinelearning machinelearning-python neural-networks notebook-jupyter numpy pandas-python python python3 sckit-learn
Last synced: 16 Nov 2024
https://github.com/robocorp/example-x-ray-image-processing
X-ray Image Viewer (NumPy, imageio, Matplotlib, SciPy)
data-science numpy python robotframework xray-images
Last synced: 11 Nov 2024
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: 12 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/jsinkx/traffic-accident-ml
Forecast car and traffic accidents depending on weather with machine learning
eda forecast matplotlib ml numpy optuna pandas randomforest seaborn sklearn tpot
Last synced: 11 Nov 2024
https://github.com/sofiakhutsieva/analytical_report_for_hr_department
Подготовка аналитического отчета (SQL) (Проект в skillbox)
analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy
Last synced: 12 Nov 2024
https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
Last synced: 12 Nov 2024
https://github.com/aarush-narang/hurricanepredictionusinglstm
jupyter numpy pandas python pytorch scikit streamlit tensorflow
Last synced: 12 Nov 2024
https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
Last synced: 11 Nov 2024
https://github.com/izam-mohammed/celebrity-classification
In this end-to-end data science and machine learning project 📊, we classify sports personalities 🏀. After Hyperparameter tuning 🔧, I found that a Support Vector Machine (SVM) is the best for this classification 🏆. The model has 85% accuracy 📈 in classifying images 📸.
flask image-classification machine-learning ml-project model numpy pandas python svm
Last synced: 11 Nov 2024
https://github.com/marferdom/codenotes
Notes while learning to code in python
fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch
Last synced: 18 Nov 2024
https://github.com/screamman-ssh/video-camera-to-ascii
Convert a video file or camera captured to display as text.
ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text
Last synced: 12 Nov 2024
https://github.com/linggarm/lvq-and-elm-with-iris-dataset
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing
Last synced: 11 Nov 2024
https://github.com/linggarm/fruit-images-search-engine
A Content Based Image Retrieval (CBIR) application of Information Retrieval with fruit images
artificial-intelligence cbir computer-vision content-based-image-retrieval css flask html information-retrieval javascript machine-learning numpy pillow python search-engine tensorflow
Last synced: 11 Nov 2024
https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
Last synced: 11 Nov 2024
https://github.com/linggarm/dog-vs-cat-classification-with-transfer-learning-using-vgg16
Implementation of binary classification with Dog and Cat images using VGG16 architecture and Transfer Learning techniques
artificial-intelligence binary-classification catvsdog colab-notebook computer-vision dogvscat fine-tuning imagenet machine-learning numpy pandas python scikit-learn supervised-learning tensorflow transfer-learning vgg16
Last synced: 11 Nov 2024
https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.
artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
Last synced: 11 Nov 2024
https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
Last synced: 11 Nov 2024
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 11 Nov 2024
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 12 Nov 2024
https://github.com/aangelone2/das
A simple Data Analysis Suite
correlation-analysis data-analysis monte-carlo numpy statistics
Last synced: 14 Nov 2024
https://github.com/denis-bz/glp
numpy <--> GLPK Keywords: linear programming, python, numpy, scipy, GLPK 22 Oct
glpk linear-programming numpy pyglpk python scipy
Last synced: 10 Nov 2024
https://github.com/omkarpattnaik8080/studentperformanceanalysis
"This data analytics project examines student performance using Python and Pandas. Employing statistical analysis and visualization techniques with Matplotlib, it provides insights into academic trends. Explore this repository for data-driven insights essential for enhancing educational strategies and student outcomes."
data-visualization dataanalytics datascience kaggle numpy pandas
Last synced: 14 Nov 2024
https://github.com/omkarpattnaik8080/featureengineering
"Elevating my machine learning projects with this feature engineering repository. Transforming raw data into powerful features, boosting model accuracy. by exploring curated scripts, tools, and resources for an optimized data preprocessing workflow. Unleashing the potential of data and enhancing predictive modeling effortlessly."
feature-engineering matplotlib numpy pandas seaborn
Last synced: 14 Nov 2024
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
Last synced: 12 Nov 2024
https://github.com/mateuszskoczek/3drenderer
Simple 3D Renderer written in Python and Pygame. The project was implemented as a part of the "Computer Graphics" course at the Warsaw University of Technology.
3d 3d-graphics computer-graphics numpy pygame python
Last synced: 11 Nov 2024
https://github.com/epsoft/convolutional-neural-network-for-recognizing-farsi-handwritten-digits
Convolutional Neural Network for Recognizing Farsi Handwritten Digits
cnn cnn-keras convolutional-neural-networks cv2 farsi matplotlib numpy persian recognizing-farsi-handwritten scipy seaborn sequential tensorflow
Last synced: 12 Nov 2024
https://github.com/nilusche/feed_forward_network_py
Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.
colab-notebook feed-forward-neural-networks neural-network numpy python
Last synced: 11 Nov 2024
https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
Last synced: 11 Nov 2024
https://github.com/ivangael/human-motion-capture
Realtime Human Motion Tracking and Analysis
human-pose-estimation mediapipe motion-analysis motion-tracking numpy opencv python
Last synced: 11 Nov 2024
https://github.com/ivangael/objects_detection_with_neural_network_training_visualization
Real-time Object Detection and Neural Network Training Visualization
keras matplotlib neural-network neural-network-training neural-network-visualizations numpy object-detection opencv python tensorflow ultralytics
Last synced: 11 Nov 2024
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
Last synced: 11 Nov 2024
https://github.com/ivangael/genderdetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
Last synced: 11 Nov 2024
https://github.com/ivangael/simple-image-segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 11 Nov 2024
https://github.com/ivangael/realtime-car-traffic-tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 11 Nov 2024
https://github.com/ivangael/crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 11 Nov 2024
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: 11 Nov 2024
https://github.com/epsoft/embedding
Embedding
adam dense embedding flatten itertools numpy onehotencoder optimizers pandas sequential tensorflow
Last synced: 12 Nov 2024
https://github.com/epsoft/image-augmentation
Image Augmentation
conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow
Last synced: 12 Nov 2024
https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
cv2 extraction farsi feature fingerprint iran master math morphology numpy persian skimage square
Last synced: 12 Nov 2024
https://github.com/epsoft/lane-moseley
Lane Moseley
epsoft matplotlib metrics ml nearestneighbors numpy pandas python sklearn
Last synced: 12 Nov 2024
https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 12 Nov 2024
https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
Last synced: 12 Nov 2024
https://github.com/yanukadeneth99/numpy-neural-network
A Neural Network made using Numpy
ai deep-learning deep-neural-networks ml numpy python
Last synced: 12 Nov 2024
https://github.com/yasinshafiei/fullyconnected-from-scratch
Fully connected layer from scratch, with training on MNIST dataset
adam-optimizer ai ann artificial artificial-intelligence deep-learning from-scratch mlp neural-network numpy perceptron python
Last synced: 11 Nov 2024
https://github.com/jminjares4/selected-areas-in-networks
Assignments for Selected Areas in Networks (EE 5390)
matplotlib network-analysis numpy pandas python
Last synced: 11 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/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
Last synced: 14 Nov 2024
https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
Last synced: 11 Nov 2024
