There are 4 repositories under jupternotebook topic.
Bootcamp online analista de dados disponibilizado pelo IGTI – Instituto de Gestão e Tecnologia da Informação
Aula de Inteligência Artificial - IFSP
University teaching files
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.
Quantifying spike trains using 3 types of rate codes and also Coefficient of variance of Interspike Intervals
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.
In this repository i am gonna walk you through evolution of face recognition algorithms using deep learning approach.
Top Machine Learning Projects | Best Machine Learning Projects With Source Code
My blog where I talk about Machine learning extensively. Build with fastpages
All the Python-ic stuff in ArcGIS Pro
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.
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.
Here, you will find the explanation of Data Structures and Algorithms for Machine Learning Models using Python.
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.
Predict house prices using XGBoost regression. This project preprocesses data, trains the model, and evaluates predictions to forecast house prices based on various features.
Python-integrated hotel analytics project extracting actionable insights from hotel data
Multi-Class Image Classification Project to classify images into driving license, social security, and others category.
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
Data Science Job simulation program by British Airways
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. 💡🚀
Analise de dados utilizando linguagem Python
CS425 Assignments
Classification Assignment for AI and Machine Learning Module
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.
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
Applying a EDA and applying Machine Learning Algorithms to predict the Global Sales Rating for Video Games
Repository created for programming and development in the Python language.
This a Capstone Project from IBM Data Analysis Professional Certificate
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.
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.
openCV (YOLO) application that indentifies and notifies users when a perishable is about to expire in a fridge
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.
example of how to use VertexAI LLM in local development environment