Portfolio

Developed Projects:

Creation of the Dataset for Analysis and Data Visualization to generate insights and information about the World Cup event.

Data cleaning through Webscraping and Feature Engineering to enhance performance and analyze data for generating statistics and general information about the World Cup.
Exploratory Data Analysis (EDA) via SweetViz and Pandas.
Data clustering using K-Means and DBSCAN to create player profiles and to recognize patterns based on the dataset.
Creation of Machine Learning models for predicting World Cup matches.

Automatic recognition of car plates using OCR and YOLO algorithms.

Implementation of OCR algorithms, comparison, and performance analysis using CER and WER metrics.
Utilization of YOLOv5 for automatic plate cropping based on created labels.

Creation of Machine Learning models to study predictions and classifications in a region of Brazil.

Creation of the property dataset using Webscraping.
Implementation and comparison of various Machine Learning models for regression and classification.
Metric improvements using diverse resources such as GridSearchCV, Feature Engineering, Normalizations, etc.

Name		Name	Last commit message	Last commit date
Latest commit History 80 Commits
1. (DS and ML) - World Cup Catar 2022		1. (DS and ML) - World Cup Catar 2022
2. (Computer Vision) - Vehicle License Plate Detection		2. (Computer Vision) - Vehicle License Plate Detection
3. (DS and ML) - Rentals Regression and Classification		3. (DS and ML) - Rentals Regression and Classification
4. (LLM) - RAG		4. (LLM) - RAG
AI Agents/Nutrition Consultant		AI Agents/Nutrition Consultant
.gitignore		.gitignore
README.md		README.md