Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for AutoMobiles dataset.

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

Futurense's summer bootcamp, focused on Python and SQL, with practical projects integrating both technologies for data analysis, automation, and Tools like Tkinter.

The project comprises studying suicide statistics in India from 2001 to 2012 using pandas, an efficient Python data manipulation and analysis tool, as well as Excel for data visualization and presentation.

Discord graphing bot.

Computer Engineering thesis project made with the aim of enhancing Guarani-Spanish translation using Deep Learning models with regularization techniques and data augmentation using hundreds of thousands parallel sentences generated by syntax grammars.

Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

This repository contains EDA projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

This project aims to detect credit card fraud using various machine learning models, including Logistic Regression, Decision Tree and Random Forest.

Estudos sobre data visualization, data science e bibliotecas Python.

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.

Many pregnant women die from pregnancy issues as a result of a lack of information on maternal health care during and after pregnancy. It is more common in rural regions and among lower-middle-class families in emerging countries. During pregnancy, every minute should be observed to ensure the proper growth of the baby and the safe delivery.

LA Crime Data EDA: Unmasking the City’s Dark Secrets 🌆🕵️‍♂️🔍. Step into the gritty underbelly of Los Angeles with this electrifying EDA project! We’re diving deep into the city’s crime data to uncover jaw-dropping trends, shocking patterns, and eye-popping insights. Buckle up for a wild ride through the streets of LA! 👮‍♂️🚔

ML EDA+ MODELO DE REGRESIÓN

Provides useful Tools & Statistics of games made by Winterpixel Games! This website is not affiliated with or endorsed by Winterpixel Games Inc.

In response to the increasing sophistication of cyber attacks, this project aims to develop an artificial neural network (ANN) model to effectively detect malicious network intrusions. The primary goals are to analyse network data and create a robust ANN model that accurately distinguishes between different types of network traffic

Classification of Financial News using finbert into positive, negative or neutral

Exercises on Machine Learning