caioalarcon/datascience

A repository dedicated to studying data science, encompassing a wide range of topics including mathematics, statistics, and other relevant areas. This repository serves as a resource for individuals interested in advancing their knowledge and skills in the field of data science.

Data Science Study Group

Welcome to our Data Science study group! This repository is dedicated to providing resources and materials to aid in our collective learning journey.

Repository Structure

This repository is organized into various directories, each dealing with different aspects of Data Science. Here's a brief overview of the topics:

• Mathematics

  • Linear Algebra
  • Statistics
  • Calculus
  • Probability

• Computer Science

  • Algorithms
  • Data Structures
  • Computer Architecture

• Programming

  • Python for Data Science
  • R for Data Science

• Data Analysis and Visualization

  • Pandas
  • Matplotlib
  • Seaborn
  • Tableau

• Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

• Deep Learning

  • Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks

• Natural Language Processing

  • Tokenization
  • Word Embeddings
  • Seq2Seq Models

• Big Data

  • Hadoop
  • Spark
  • Data Warehousing

• Databases

  • SQL
  • MongoDB
  • Database Design

• Cloud Computing

  • AWS for Data Science
  • Google Cloud for Data Science
  • Microsoft Azure for Data Science

• Tools and Libraries

  • Jupyter Notebooks
  • TensorFlow
  • Scikit-learn

• Ethics in Data Science

  • Privacy Concerns
  • Bias and Fairness

• Data Science in Practice

  • Case Studies
  • Project Management
  • Communication and Presentation Skills

We encourage everyone to contribute to the repository by adding resources, asking questions, and providing answers. Happy learning!