https://github.com/raditya1117/content-portfolio
This repository contains documents containing links of my work.
https://github.com/raditya1117/content-portfolio
data-science git github machine-learning machine-learning-algorithms python
Last synced: about 2 months ago
JSON representation
This repository contains documents containing links of my work.
- Host: GitHub
- URL: https://github.com/raditya1117/content-portfolio
- Owner: raditya1117
- Created: 2025-03-01T12:26:21.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-01T15:57:41.000Z (over 1 year ago)
- Last Synced: 2025-03-01T16:28:39.450Z (over 1 year ago)
- Topics: data-science, git, github, machine-learning, machine-learning-algorithms, python
- Homepage:
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
This repository contains links to my works at different websites. Following are some of the articles on different topics that show my technical and writing skills.
## Machine learning topics
- [Linear Regression with scikit-learn: A Step-by-Step Guide Using Python](https://www.codecademy.com/article/linear-regression-with-scikit-learn-a-step-by-step-guide-using-python)
- [What is One Hot Encoding and How to Implement it in Python?](https://www.codecademy.com/article/what-is-one-hot-encoding-and-how-to-implement-it-in-python)
- [FP Growth Algorithm Explained With Numerical Example](https://codinginfinite.com/fp-growth-algorithm-explained-with-numerical-example/).
- [KNN Classification From Scratch in Python](https://codinginfinite.com/knn-classification-from-scratch-in-python/).
- [Hierarchical Clustering for Categorical and Mixed Data Types in Python](https://codinginfinite.com/hierarchical-clustering-for-categorical-and-mixed-data-types-in-python/).
- [Polynomial Regression Using sklearn Module in Python](https://codinginfinite.com/polynomial-regression-using-sklearn-module-in-python/).
- [Logistic Regression Using sklearn Module in Python](https://codinginfinite.com/logistic-regression-using-sklearn-module-in-python/).
- [Machine-learning life-cycle management using MLflow](https://www.honeybadger.io/blog/machine-learning-lifecycle-management-using-mlflow/).
## Generative AI topics
- [How do Vision Transformers Work? Architecture Explained](https://www.codecademy.com/article/vision-transformers-working-architecture-explained)
- [Using DeepEval for Large Language Model (LLM) Evaluation in Python](https://www.codecademy.com/article/using-deepeval-for-llm-evaluation-python)
- [LLM Evaluation: Metrics, Benchmarks & Best Practices](https://www.codecademy.com/article/llm-evaluation-metrics-benchmarks-best-practices)
- [Transformer Architecture Explained With Self-Attention Mechanism](https://www.codecademy.com/article/transformer-architecture-self-attention-mechanism)
- [How to Build RAG Pipelines in AI Applications?](https://www.codecademy.com/article/build-rag-pipelines-in-ai-applications)
- [What is Retrieval-Augmented Generation (RAG) in AI?](https://www.codecademy.com/article/retrieval-augmented-generation-in-ai)
- [What is a Vector Database in AI? How They Work](https://www.codecademy.com/article/what-is-vector-database)
- [What is n8n: Build AI Workflows with n8n](https://www.codecademy.com/article/build-ai-workflows-with-n8n)
- [Setup and Fine-Tune Qwen 3 with Ollama](https://www.codecademy.com/article/qwen-3-ollama-setup-and-fine-tuning)
- [Prompt Engineering vs Fine Tuning: When to Use Each](https://www.codecademy.com/article/prompt-engineering-vs-fine-tuning)
- [Build an AI Travel Assistant With Google Agent Development Kit (ADK)](https://www.codecademy.com/article/build-an-ai-travel-assistant-with-google-agent-development-kit-adk)
- [Prompt Engineering 101: Understanding Zero-Shot, One-Shot, and Few-Shot](https://www.codecademy.com/article/prompt-engineering-101-understanding-zero-shot-one-shot-and-few-shot)
- [How to Use Model Context Protocol (MCP) with Claude](https://www.codecademy.com/article/how-to-use-model-context-protocol-mcp-with-claude-step-by-step-guide-with-examples)
- [Building LangChain Agents for LLM Applications in Python](https://www.codecademy.com/article/building-langchain-agents-for-llm-applications-in-python)
- [Fine-Tuning Large Language Models (LLMs) in Python](https://www.codecademy.com/article/fine-tuning-large-language-models-llms-in-python)
- [Chain of thought (CoT) prompting](https://www.codecademy.com/article/chain-of-thought-cot-prompting).
- [Getting Started with LangChain Prompt Templates](https://www.codecademy.com/article/getting-started-with-lang-chain-prompt-templates).
- [Implementing Memory in LLM Applications Using LangChain](https://www.codecademy.com/article/implementing-memory-in-llm-applications-using-lang-chain).
## Deep learning topics
- [Stochastic Gradient Descent (SGD) Explained With Implementation in R](https://www.codecademy.com/article/stochastic-gradient-descent-sgd-explained-with-implementation-in-r)
- [Rectified Linear Unit (ReLU) Function in Deep Learning](https://www.codecademy.com/article/rectified-linear-unit-relu-function-in-deep-learning)
- [Understanding Convolutional Neural Network (CNN) Architecture](https://www.codecademy.com/article/understanding-convolutional-neural-network-cnn-architecture)
- [Understanding Neural Networks and Their Components](https://www.codecademy.com/article/understanding-neural-networks-and-their-components)
- [Building a Neural Network Model Using TensorFlow](https://www.codecademy.com/article/building-a-neural-network-model-using-tensorflow)
- [PyTorch vs TensorFlow: Choosing the Best Framework for Deep Learning ](https://www.codecademy.com/article/pytorch-vs-tensorflow-choosing-the-best-framework-for-deep-learning).
## Python Articles
- [Building command-line applications in Python](https://www.honeybadger.io/blog/building-command-line-applications-in-python-a-comprehensive-guide/).
- [Beginners guide to software testing in Python](https://www.honeybadger.io/blog/beginners-guide-to-software-testing-in-python/).
- [Machine-learning life-cycle management using MLflow](https://www.honeybadger.io/blog/machine-learning-lifecycle-management-using-mlflow/).
- [INI vs. YAML: working with configuration files in Python](https://www.honeybadger.io/blog/python-ini-vs-yaml/).
- [Pandas DataFrame Essentials: A Code-Driven Tutorial](https://avidpython.com/python-basics/pandas-dataframe-essentials-a-code-driven-tutorial/).
- [Hands-on Statistics with NumPy in Python](https://www.codecademy.com/article/hands-on-statistics-with-numpy-in-python).
- [The Zen Of Python Explained With Examples](https://www.codeconquest.com/blog/the-zen-of-python-explained-with-examples/).
- [How to Process Excel Data in Python and Pandas](https://python.land/data-processing/process-excel-data-in-python-and-pandas).
- [Queue Implementation in Python](https://www.delftstack.com/howto/python/queue-implementation-in-python/)
- [Multiprocessing Queue in Python](https://www.delftstack.com/howto/python/python-multiprocessing-queue/)
- [Socket Programming in Python: A Beginners Guide](https://www.delftstack.com/howto/python/socket-programming-in-python-a-beginners-guide/)
- [Linked List in Python](https://www.delftstack.com/howto/python/linked-list-in-python/)
- [Custom Colormap Using Python Matplotlib](https://www.delftstack.com/howto/matplotlib/custom-colormap-using-python-matplotlib/)
- [How to Add Value Labels on Matplotlib Bar Chart](https://www.delftstack.com/howto/matplotlib/add-value-labels-on-matplotlib-bar-chart/)
- [Callback function in Python](https://java2blog.com/python-callback-function/)
## Data science topics
- [What is Reinforcement Learning? With Examples](https://www.codecademy.com/article/what-is-reinforcement-learning-with-examples)
- [Standard Normal Distribution Explained with Real-World Examples](https://www.codecademy.com/article/standard-normal-distribution-explained-with-real-world-examples)
- [Differences Between Z-Test and T-Test](https://www.codecademy.com/article/differences-between-z-test-and-t-test).
- [12 Bad Data Visualization Examples Explained](https://www.codeconquest.com/blog/12-bad-data-visualization-examples-explained/).
- [Data Visualization Best Practices With Examples](https://www.codeconquest.com/blog/data-visualization-best-practices-with-examples/).
- [Chart Junk: How to Avoid it?](https://www.codeconquest.com/blog/chart-junk-how-to-avoid-it/).
- [Data-ink Ratio Explained With Example](https://www.codeconquest.com/blog/data-ink-ratio-explained-with-example/).
- [Visualization Wheel by Alberto Cairo](https://www.codeconquest.com/blog/visualization-wheel-by-alberto-cairo/).
## Databases
- [First Normal Form (1NF) in DBMS](https://www.codecademy.com/article/first-normal-form-1nf-in-dbms)
- [MongoDB Aggregation Pipelines: A Hands-on Tutorial ](https://www.codecademy.com/article/mongodb-aggregation-pipeline).
- [MongoDB Aggregation Stages Explained](https://www.codecademy.com/article/mongodb-aggregation).
- [Difference Between Left Join and Left Outer Join in SQL](https://www.codecademy.com/article/difference-between-left-join-and-left-outer-join-in-sql).
## General Programming topics
- [Kadane's Algorithm: Find Maximum Subarray Sum in an Array](https://www.codecademy.com/article/kadanes-algorithm-find-maximum-subarray-sum-in-an-array)
- [FastAPI vs Flask: Key Differences, Performance, and Use Cases](https://www.codecademy.com/article/fastapi-vs-flask-key-differences-performance-and-use-cases)
- [Effective Strategies For Debugging Code](https://www.codeconquest.com/blog/effective-strategies-for-debugging-code/).
- [Code Refactoring Techniques Explained](https://www.codeconquest.com/blog/code-refactoring-techniques-explained/).
- [Getting Started with GitHub Actions](https://www.codecademy.com/courses/learn-git/articles/getting-started-with-github-actions).
- [Working With Template GitHub Repositories](https://www.codecademy.com/courses/learn-git/articles/working-with-template-github-repositories).
To have a look at the other articles written by me for different websites, you can have a look at the respective folders. To discuss more about my work and collaboration, kindly reach out to me through [my LinkedIn profile](https://linkedin.com/in/raditya1117/).