nickmnt / data

Data Analysis, Machine Learning, Deep Learning. Projects, papers and codes.

Data Analysis Portfolio

🧭 Table of Contents

• Data Science
• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
• PyTorch
• Tensorflow

Data Science and Data Analysis

• Pandas: Master the versatility of Pandas through a series of focused notebooks. Explore everything from basic operations to advanced data manipulation techniques. Introduction Series, Data Visualization, Exercises, Pandas Bootcamp, Version Updates
• Numpy: Dive into the core of numerical computing with Numpy through dedicated notebooks that cover foundational to advanced topics. Introduction
• Visualization Techniques: Gain expertise in data presentation with Seaborn & Matplotlib. Access a rich collection of visualizations that enhance data storytelling. Pandas Visualization, Matplotlib, Seaborn, Seaborn Exercises, Advanced Projects

Traditional Machine Learning

• Core Models: Explore the development and tuning of ten essential machine learning models, designed to solve a variety of data problems. 10 ML Models
• Clustering and University Projects: Engage with complex clustering techniques applied in an academic setting. University Clustering Exercise

Natural Language Processing (NLP)

• Comprehensive Course: Embark on a structured journey into NLP with a curated course that covers both theory and application. NLP Course
• Transformers: Leverage PyTorch to implement cutting-edge transformer models that drive modern NLP solutions. Transformer Implementations
• Academic Projects: Delve into project work that integrates NLP applications within an academic framework. ML Course Project

Computer Vision

• Dedicated Course: Gain critical insights into computer vision technologies and their applications across various sectors. CV Course
• Cross-Domain Applications: Understand the similarities and applications of NLP transformers in vision-based models. See NLP Section

PyTorch

• Official Tutorials and Beyond: Explore official PyTorch tutorials along with my personal projects that extend its capabilities in real-world scenarios. PyTorch Tutorials
• Applications in AI: See practical applications in areas such as reinforcement learning and NLP. Reinforcement Learning, NLP

Tensorflow

• Structured Learning: Navigate through an extensive course on Tensorflow, illustrating its use in various machine learning paradigms. Tensorflow Course, Kaggle Projects
• Cross-Disciplinary Knowledge: Apply Tensorflow techniques in computer vision and natural language processing projects. CV Course, NLP Course