NumPy | Ecosyste.ms: Awesome

https://github.com/m-rishab/research-paper-recommendation

This project aims to build a research paper recommendation system. Given a paper title as input, the system provides the top 5 recommended research papers.

deep-learning flask llm nlp numpy pandas python scikit-learn sentence-transformers tensorflow torch transformers

Last synced: 22 Jan 2025

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 22 Jan 2025

https://github.com/krik8235/ml-marcom-budget-optimization

Optimize budget allocation across multiple marketing channels to maximize revenue

gradient-boosting machine-learning-algorithm machine-learning-algorithms machine-learning-projects numpy pandas random-forest seaborn sklearn

Last synced: 12 Feb 2025

https://github.com/snehilsanyal/ee524

Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session

course-webpage machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 04 Feb 2025

https://github.com/rizwanullah313/python-ai-django

aimodel decision-trees django jupiter-notebook numpy python

Last synced: 16 Jan 2025

https://github.com/iv4n-ga6l/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: 31 Jan 2025

https://github.com/codeantik/spam-ham-detector

A machine learning model to detect whether the mails are spam or ham

logistic-regression numpy pandas python sklearn

Last synced: 14 Jan 2025

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 10 Jan 2025

https://github.com/drewstone/katz-centrality

Katz centrality of a wheelgraph

centrality graphs networks numpy

Last synced: 17 Jan 2025

https://github.com/datarohit/car-evaluation--classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn

Last synced: 15 Feb 2025

https://github.com/datarohit/comic-superheros-data-analysis

This is a Dataset taken from Kaggle with Data for almost all Marvel and DC superheros. I've performed analysis based on 20 Question which involves Analysis along with EDA.

matplotlib-pyplot numpy pandas seaborn

Last synced: 15 Feb 2025

https://github.com/datarohit/tps-january-2022--kaggle-competition

Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.

kaggle-competition matplotlib numpy pandas regression-algorithms seaborn

Last synced: 15 Feb 2025

https://github.com/datarohit/imdb-reviews-sentiment-analysis

This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.

bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn

Last synced: 15 Feb 2025

https://github.com/datarohit/garbage-image-classification

This is Garbage Image Classification End-To-End Project built using Python and Streamlit.

cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy

Last synced: 15 Feb 2025

https://github.com/datarohit/fifa-2020--data-analysis

This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.

exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn

Last synced: 15 Feb 2025

https://github.com/zazi2002/neuroscience-reinforcement-learning

Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.

deep-learning matplotlib numpy pytorch reinforcement-learning

Last synced: 19 Feb 2025

https://github.com/zazi2002/neuroscience-project-lfp-signalanalysis

This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.

jupiter-notebook lfp-analysis matplotlib numpy signal-processing

Last synced: 19 Feb 2025

https://github.com/zazi2002/neuroscience-project-olfactory-signal

This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.

frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing

Last synced: 19 Feb 2025

https://github.com/zazi2002/machine-learning-project

Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn

Last synced: 19 Feb 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 19 Feb 2025

https://github.com/datarohit/pima-indians-diabetes-classification

This is a very popular Kaggle Dataset for practicing Classification and EDA. A detailed Statistical Analysis with EDA and many Plots has been done.

classification-algorithims classification-model machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklean

Last synced: 15 Feb 2025

https://github.com/nekruzash/machine-learning-decision-trees

This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.

jupyter-notebook numpy pandas python

Last synced: 16 Jan 2025

https://github.com/sitamgithub-msit/maldetect

A Deep Learning application for Malaria Detection

comet-ml containers deep-learning docker efficientnetb0 experiment-tracking flask-api google-cloud-build google-cloud-platform google-cloud-run html-css-javascript keras-cv keras3 matplotlib numpy pytest python serverless tensorflow tensorflow-datasets

Last synced: 28 Jan 2025

https://github.com/datarohit/date-fruit-classification

This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.

classification logisticregression numpy pandas python3 standard-scaler

Last synced: 15 Feb 2025

https://github.com/simranjeet97/quotes-analysis

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application

Last synced: 14 Jan 2025

https://github.com/simranjeet97/machine-learning

How to Setup Machine Learning Environment in Your PC or Laptop ? How to install Machine Learning Libraries ? How to Build ML Models, Algorithms and Other Stuff ??Your all Questions are answer here !!!!

algorithm deep-learning environment-configuration keras libraries machine-learning numpy pandas scipy tensorflow

Last synced: 14 Jan 2025

https://github.com/simranjeet97/datascience_crashcourse

Data Science Crash Course that Explained about Each and Every Process in Data Science.

dash data data-science data-science-crash-course data-structures data-visualization datascience-machinelearning datasciencecoursera datascienceproject instagram matplotlib numpy pandas telegram tutorials youtube

Last synced: 14 Jan 2025

https://github.com/datarohit/nlp-course-files

The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.

nlp nlp-machine-learning nltk numpy panda python sklearn spacy

Last synced: 15 Feb 2025

https://github.com/itzzmeakhi/investigate-tmdb-dataset

Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.

csv matplotlib numpy pandas python3 seaborn

Last synced: 28 Jan 2025

https://github.com/syedaanif/ds-ml-pyhton

This repo contains learnings about Data Science and Machine Learning using Python

artificial-intelligence data-science machine-learning matplotlib numpy pandas plotly python seaborn

Last synced: 16 Jan 2025

https://github.com/blakeziegler/nfl-ai

Sports AI featuring Deep Learning Neural Networks from Scratch with Momentum Optimization

artificial-intelligence-algorithms artificial-neural-networks calculus deep-neural-networks linear-algebra neural-network numpy prediction-model sports statistics

Last synced: 16 Jan 2025

https://github.com/upul/indi

Small Machine Learning library written in Python

algorithms machine-learning numpy python scipy

Last synced: 19 Jan 2025

https://github.com/upul/chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

machine-learning numpy pandas predictive-analytics scikit-learn

Last synced: 19 Jan 2025

https://github.com/shliakhovai/numpy-neural-network

A simple neural network implemented from scratch using NumPy.

machine-learning neural-network numpy preceptron scikit-learn

Last synced: 12 Jan 2025

https://github.com/abhiramdodda/rainfall_prediction

Machine Learning model built on Telangana dataset cropped from Indian weather dataset merged with average temperature dataset

numpy pandas python3 scikit-learn scikitlearn-machine-learning

Last synced: 12 Jan 2025

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 12 Jan 2025

https://github.com/arduino88/evolutionary-dots

A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.

evolutionary-algorithm genetic-algorithm machine-learning mutation numpy pathfinding pygame python3

Last synced: 31 Jan 2025

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 12 Jan 2025

https://github.com/aarryasutar/hate_speech_detection

This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.

confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud

Last synced: 12 Jan 2025

https://github.com/cristhian-sdp/lenguaje-de-senas-con-python

💻Programación del proyecto "Lenguaje de señas con Python"👌.

machine-learning mediapipe numpy opencv proyectosuniversitarios python scikit-learn

Last synced: 31 Jan 2025

https://github.com/aidatorajiro/takasa

OpenStreetMap 高低差を考えた最短（？）経路問題ソルバー

numpy openstreetmap scipy shortest-path

Last synced: 19 Feb 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 14 Jan 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning

Last synced: 14 Jan 2025

https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model

Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.

artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn

Last synced: 18 Jan 2025

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 16 Jan 2025

https://github.com/dudynets/numerical-methods-labs-tkinter

Labs for Numerical Methods course at Ivan Franko Lviv National University.

interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university

Last synced: 22 Jan 2025

https://github.com/dudynets/numerical-methods-labs

Labs for Numerical Methods course at Ivan Franko Lviv National University.

angular docker fastapi interpolation labs linear-algebra material-ui matplotlib ngxs numpy python typescript university

Last synced: 22 Jan 2025

https://github.com/ul-mds/gecko-data

Example data sources as a starting point for working with Gecko

data-science numpy pandas python record-linkage

Last synced: 04 Feb 2025

https://github.com/arshitarora/image-overlaying-prespective

Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮

image numpy opencv python swap

Last synced: 04 Feb 2025

https://github.com/mramshaw/ml_with_missing_data

How to handle missing or incomplete data

incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn

Last synced: 14 Nov 2024

https://github.com/hacker-anakin/python-ai

This AI Python Jupyter Notebook project guides users through setting up, data manipulation with numpy/pandas, and upcoming advanced AI phases.

ai jupyter jupyter-notebook numpy python pythonai

Last synced: 22 Dec 2024

https://github.com/theankurgoswami/study-notes

Notes of topics I study.😛

deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow

Last synced: 18 Jan 2025

https://github.com/karan-malik/fakenewsdetection

Using Machine Learning and NLP to segregate the unreliable and reliable news articles

artificial-intelligence fake-news fakenewsdetection machine-learning machine-learning-algorithms natural-language-processing news nlp nlp-machine-learning numpy python python3 scikit-learn scikitlearn-machine-learning

Last synced: 14 Jan 2025

https://github.com/tawabshakeel/neural-networks-using-keras

Different Neural Networks using keras

deep-learning keras machine-learning neural-networks numpy pandas python sklearn

Last synced: 22 Jan 2025

https://github.com/bredalis/numpy

✨ Library to work with arrays ✨

arrays data matrix numpy numpy-arrays numpy-library python

Last synced: 14 Jan 2025

https://github.com/tynab/inferential-statistics

CyberSoft Machine Learning 03 - Inferential Statistics

anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn

Last synced: 12 Jan 2025

https://github.com/hamidhosen42/a-graph-machine-learning

Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.

ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library

Last synced: 12 Jan 2025

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 12 Jan 2025

https://github.com/billgewrgoulas/hypothesis-testing-on-37-seasons-of-nba

First assignment for the course Data Mining @CSE.UOI

data-analysis data-science numpy scipy seaborn statistics

Last synced: 16 Jan 2025

https://github.com/jimmymugendi/neural-network-for-binary-classification

aws neural-networks numpy pandas sagemaker tensorflow

Last synced: 16 Jan 2025

https://github.com/sominw/cheatsheets

Useful cheatsheets for DS.

cheat-sheets cheatsheet numpy pandas probability

Last synced: 12 Jan 2025

https://github.com/prashver/titanic-survival-prediction

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.

classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 14 Jan 2025

https://github.com/tynab/lottery

Xổ số kiến thiết

crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan

Last synced: 07 Dec 2024

https://github.com/georgehanymilad/heart-disease-detection

Machine Learning Project

anaconda classification classification-algorithm dataanalysis datascience kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn

Last synced: 16 Jan 2025

https://github.com/mohd-faizy/learn_numpy

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

array-manipulations numpy numpy-arrays numpy-matrix numpy-neural-network numpy-python numpy-tutorial

Last synced: 13 Nov 2024

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 14 Jan 2025

https://github.com/isa1asn/line_following_robot_ros2

A line track follower robot with a camera sensor using ros2 and cv2

cv2 numpy opencv-python python3 ros2 ros2-humble sensor xacro

Last synced: 20 Jan 2025

https://github.com/codebyaadi/whatsapp-chat-analyzer

WhatsApp Chat Analyzer is a web app built with Streamlit and Python to analyze your WhatsApp conversations. Upload your chat data and gain valuable insights on message frequency, active participants, and more. Visualize your conversations with word clouds and charts. Explore and understand your chats effortlessly.

data-analysis data-science data-visualization numpy pandas pycharm-ide python python3

Last synced: 12 Feb 2025

https://github.com/abeed04/hotel-bookings-prediction-using-machine-learning

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

flask numpy pandas-dataframe pickle-file pycharm-ide python randomforestalgorithm sklearn-library sklearn-metrics

Last synced: 12 Feb 2025

https://github.com/abhilash1910/deepgenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

adagrad generativemodeling nlp numpy optimizer rnn seq2seq-model transduction vanilla-rnn

Last synced: 22 Jan 2025

https://github.com/607011/1dollar

Simulation of a counterintuitive distribution problem

animation go golang matplotlib numpy plot python3 simulation statistics

Last synced: 19 Feb 2025

https://github.com/juanpablo70/pgad-nba-prediction-project

Programming for Data Analysis from Open Data Sources

data-science jupyter-notebook matplotlib mysql numpy pandas pymysql python scipy seaburn sqlalchemy

Last synced: 22 Jan 2025

https://github.com/juanpablo70/pgad-exam

Midterm Exam Titanic data set

data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python seaburn

Last synced: 22 Jan 2025

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 12 Jan 2025

https://github.com/dhairyac/student-performance-analysis

Analyze and visualize features affecting student performance

decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn

Last synced: 22 Jan 2025

https://github.com/cosama/vasapy

Vectorized Associative Arrays for Python

associative-array associative-map dictionary numpy python vectorized

Last synced: 22 Jan 2025

https://github.com/hugo-hattori/property_price_prediction_machine_learning

Machine Learning Project to create an AI capable of predicting property's rental prices.

ai-models artificial-intelligence joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas pathlib plotly plotly-express python seaborn sklearn sklearn-linear-model sklearn-metrics sklearn-models streamlit

Last synced: 19 Feb 2025

https://github.com/mirgis/sassy-sandbox

A diverse code collection encompassing Python, JavaScript, Julia, and others, providing a wealth of examples, experiments, and snippets.

android aws bokeh ipynb ipywidgets javascript julia kotlin matplotlib numpy playground python3 r sandbox scipy

Last synced: 17 Jan 2025

https://github.com/thaikoz/data-science

This repository contains various data science projects and exercises implemented in Python using Jupyter Notebooks. It is intended for educational purposes and to document my learning journey in data science.

numpy pandas python

Last synced: 22 Jan 2025

https://github.com/ryantusi/ai_ml_fundamentals

Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.

artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python

Last synced: 20 Jan 2025

https://github.com/witch-world/iris-flower-classification-decision-tree-classifier

ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn

Last synced: 15 Jan 2025

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: 18 Jan 2025

https://github.com/ujstor/streamlit-working-hours

The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.

data-pipeline numpy pandas statistics streamlit

Last synced: 22 Jan 2025

https://github.com/rudrakshi99/movie-recommendation-system

Movie recommendation system using machine learning and predict user ratings for the movies.

dataframes machine-learning matplotlib numpy pandas seaborn

Last synced: 22 Jan 2025

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 22 Jan 2025

https://github.com/lexxai/goit_python_ds_hw_08

Модуль 8. Глибоке навчання. Tensorflow.

classification data-science matplotlib minst numpy pandas python sklearn tensorflow

Last synced: 24 Jan 2025

https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction

🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.

backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server

Last synced: 15 Jan 2025

https://github.com/ndohvich/car-price-prediction-eda-using-xgboost-regression

predict the price of sale car

jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python random-forest xgboost

Last synced: 19 Feb 2025

https://github.com/ndohvich/ndohvich

Je suis un grand fan de l'analyse des données avev PYTHON

anaconda arduino data github jypyter keras machine-learning machine-learning-algorithms numpy pandas python scikit-learn sql tensorflow visual-studio-code visualization-dashboard

Last synced: 19 Feb 2025

https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis

Netflix Dataset Analysis

beginner matplotlib numpy pandas python

Last synced: 22 Jan 2025

https://github.com/jsdhami/data-science-with-python

Data Science With Python->Target: AI/ML

ai articicial-inteligence deep-learning deep-neural-networks mathematics-machine-learning matplotlib ml numpy pandas python pytourch statistics tensorflow

Last synced: 05 Feb 2025

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 16 Jan 2025

https://github.com/shriram-vibhute/data-analysis

This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.

data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn

Last synced: 15 Jan 2025

https://github.com/shriram-vibhute/digit_classification

This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.

classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn

Last synced: 15 Jan 2025

https://github.com/roma-glushko/numpy-katas

🧮 Exercises to sharp scientific computations with Numpy

katas numpy

Last synced: 12 Feb 2025

https://github.com/sralter/term_deposit_marketing

Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.

matplotlib numpy optuna pandas seaborn sklearn

Last synced: 17 Jan 2025

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow