Hi👋, I'm Alex

"Data Science Journey: Exploring Insights, Algorithms, and Real-World Applications"

✨ Creating bugs since ... 2023 (my coding journey began)
🌱 I’m currently learning Data Science, an interdisciplinary and rapidly growing field that involves data preprocessing, exploratory data analysis, statistical inference, machine learning, deep learning, data mining, big data analytics, data visualization, data storage solutions, cloud computing, and ethical considerations, all designed to turn raw data into actionable insights and informed decisions.
🎯 Goals: ... Build a time series forecasting model to predict stock prices or cryptocurrency values using historical market data and advanced machine learning algorithms.
💬 Ask me about Data Science, Machine Learning, Python
🎲 Fun fact: ... The shortest war in history was between Britain and Zanzibar on August 27, 1896. Zanzibar surrendered after 38 minutes.
🐧 I like exploring Crypto Currency
📫 How to reach me [email protected]
🔗 Visit my Data Science Portfolio https://www.datascienceportfol.io/alexcj

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Alex's Projects

50-programming-languages

"Discover top 50 programming languages with curated learning resources & project ideas. Perfect for beginners & experts to enhance skills & build real-world applications!"

alexcj10

Welcome to my personal GitHub repository! This space is a showcase of my journey in data science and python, featuring a variety of projects and code samples that highlight my skills and interests.

analyzing-amazon-sales-data

This repository is dedicated to analyzing Amazon sales data to identify trends and insights that can help improve sales strategies and performance.

A comprehensive repository of curated Python resources for developers of all levels, from beginners to experts. This repository will include tutorials, libraries, tools, and projects to enhance Python skills and knowledge.

diwali-sales-analysis

This repository contains an analysis of Diwali sales data to uncover trends and patterns in customer behavior. The project aims to provide insights into customer demographics, purchasing habits, and product preferences during the Diwali season.