jupternotebook

JeffersonRPM/aula-IARC7-IFSP

Aula de Inteligência Artificial - IFSP

salarMokhtariL/TA

University teaching files

KeshavCh0udhary/HIS2.0

DeepFake Detection Web-App[Mirage Breaker] 🖥 using Deep Learning(ResNext and LSTM), Flask and ReactJs where you can predict whether a video is FAKE Or REAL along with the confidence ratio.

KushalJoseph/quantifying-spike-trains

Quantifying spike trains using 3 types of rate codes and also Coefficient of variance of Interspike Intervals

NIRMAL1508/STROKE-DISEASE-PREDICTION

Stroke Disease Prediction classifies a person with Stroke Disease and a healthy person based on the input dataset. This package can be imported into any application for adding security features. Input data is preprocessed and is given to over 7 models, where a maximum accuracy of 99.4% is achieved.

surajkarki66/Face-Recognition-Deep-Learning

In this repository i am gonna walk you through evolution of face recognition algorithms using deep learning approach.

Kd-Here/ML-Projects

Top Machine Learning Projects | Best Machine Learning Projects With Source Code

kurianbenoy/ml-blog

My blog where I talk about Machine learning extensively. Build with fastpages

azaleakamellia/arcgispro

All the Python-ic stuff in ArcGIS Pro

DalyaLami/Home_Sales

Determine key metrics about home sales data using SparkSQL and then use Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.

danielbrock4/BigData_Amazon_Vine_Analysis

Using PySpark, I performed the ETL process on a large dataset (170,000 rows) of Video Games. Next, I created an AWS relational database instance & transformed the data to be loaded into PostgreSQL. Once in PgAdmin, exported the Video Game Review Table as a CSV file. Afterward, I loaded the data into Python to create Dataframes using Pandas. Then analyzed the data to determine if there was bias in paid reviews vs. unpaid reviews.

immanuvelprathap/DataStructures-Algorithms-ML-concepts-using-Python

Here, you will find the explanation of Data Structures and Algorithms for Machine Learning Models using Python.

tanzealist/GovFoodSafety-Insight-Engine

The Food-Facility-Compliance-Engine leverages advanced ETL and BI technologies to process and visualize inspection data from Sonoma County's official government database, boosting compliance and safety in local food facilities.

tomarshabh2199/Python

My Python Examples

VIKRAM2563/HousePricePrediction-MachineLearning

Predict house prices using XGBoost regression. This project preprocesses data, trains the model, and evaluates predictions to forecast house prices based on various features.

Alihasnat930/python-practice-

Python

Analytic-Ally/Hotel_Analytics

Python-integrated hotel analytics project extracting actionable insights from hotel data

avr2002/Image-Classification-CNN-Model-for-Real-Time-Prediction

Multi-Class Image Classification Project to classify images into driving license, social security, and others category.

benjamindowns1/IPL_data_Analysis

In this jupyter notebook, I have analyzed the data of IPL, and got some inference of who has scored the most run in a season and toss win match win or first bat win or chase win and many other parameter

coded-by-keshav/British-Airways-DS-Program-TheForage

Data Science Job simulation program by British Airways

Elanchezhian2712/Stock-Prediction-Task-1-

This project provides a foundation for understanding and creating stock price prediction models using LSTM. 📈📊 It showcases the complete workflow from data preprocessing to visualization and offers insights into potential avenues for improving accuracy and real-world deployment. 💡🚀

fernandeskelvin/projeto-analise-dados

Analise de dados utilizando linguagem Python

HannahMwende/Customer-Churn-Prediction-Challenge

The objective of this repository is to develop a machine learning model to predict the likelihood of each customer “churning,” i.e. becoming inactive and not making any transactions for 90 days.

jasmeanfernando/SpikingNeuralNetworks

CS425 Assignments

Mohankrish08/Second-brain

whirly1/Default-Payment-Classification

Classification Assignment for AI and Machine Learning Module

yestab335/data-science

This repository serves as a showcase of my skills and accomplishments in the field of data science. It includes a collection of projects that demonstrate my proficiency in data analysis, machine learning, and statistical modeling.

zill879/Codsoft

Codsoft Projects TASK 1 TITANIC SURVIVAL PREDICTION ,TASK 2 MOVIE RATING PREDICTION WITH PYTHON ,TASK 3 IRIS FLOWER CLASSIFICATION ,TASK 4 SALES PREDICTION USING PYTHON ,TASK 5 CREDIT CARD FRAUD DETECTION

zill879/Video-Game_Sales_Analysis

Applying a EDA and applying Machine Learning Algorithms to predict the Global Sales Rating for Video Games

ClaudioOliveira89/Python

Repository created for programming and development in the Python language.

Emamoke44/IBM-CAPSTONE-PROJECT

This a Capstone Project from IBM Data Analysis Professional Certificate

karkiayush/SignalProcessing

Signal processing is the manipulation, analysis, and interpretation of signals that involves techniques and methods for modifying or extracting useful information from signals, with applications ranging from audio and image processing to telecommunications and control systems.

LordFarquaadtheCreator/veggieGuard

openCV (YOLO) application that indentifies and notifies users when a perishable is about to expire in a fridge

MuhammadSaadHasan/VertexOrderingOptimization

This project implements search algorithms (BFS, DFS, UCS, and Greedy) to find the optimal ordering of vertices in a network, minimizing the total cost. It reads data files with vertices and associated costs, calculates the cost of different orderings, and outputs the optimal ordering and its cost.

srjchsv/vertex-ai-llm

example of how to use VertexAI LLM in local development environment