Identifying the Digits using Image Classification

Python, Google collab, data mining done during 6th semester

some examples of different terminologies used in ML and DL

Final Project of Applied AI about text classification on unlabeled data using NLI and BERT

Performed ETL processes in the cloud to upload a dataframe to an RDS instance and used PySpark to perform a statistical analysis on Amazon datasets.

Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a re…

The aim of this project is to develop a robust sentiment analysis system that can automatically classify restaurant reviews as positive, negative, or neutral based on the sentiment expressed in the text.

Data analysis project using PySpark to perform the ETL process to extract data, transform it, connect it to AWS RDS, and load it into pgAdmin. Lastly, performed an analysis via PySpark, Pandas, & SQL to determine biases on reviews.

Analyze and predict if a flight will depart on time using airport data.

The purpose of the project is to analyze Amazon reviews written by members of the paid Amazon Vine program using AWS, PySpark, and SQL.

Repositorio con análisis de los data ENAHO de los módulos...

Potato disease classification model

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

This is my graduate thesis, a mobile applicaiton with computer vision

A groundbreaking initiative aimed at enhancing the independence and quality of life for individuals suffering from blindness and visual impairment. Navigating the world with limited vision presents numerous challenges, and our project addresses these difficulties through the integration of artificial intelligence and computer vision technologies.

Classification Problem solving with Python

Machine Learning Models

Web Application that suggests activities based on user's speech emotion recognition using ML pre-trained model

Hill climbing algorithm is a local search algorithm which continuously moves in the direction of increasing elevation/value to find the peak of the mountain or best solution to the problem. Simulated annealing is a probabilistic technique for approximating the global optimum of a given function.