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Akhilesh

Just a guy who enjoys building stuff and trying out new ideas.

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Writing Debut
61. K-Nearest Neighbors: Judge by Your Company

61. K-Nearest Neighbors: Judge by Your Company

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9 min read

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60. Support Vector Machines: Drawing the Perfect Boundary

60. Support Vector Machines: Drawing the Perfect Boundary

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8 min read
59. XGBoost: The Algorithm That Wins Competitions

59. XGBoost: The Algorithm That Wins Competitions

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8 min read
58. Random Forest: Why One Tree Isn't Enough

58. Random Forest: Why One Tree Isn't Enough

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8 min read
The Open Source AI Model That Actually Surprised Me

Gemma 4 Challenge: Write about Gemma 4 Submission

The Open Source AI Model That Actually Surprised Me

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5 min read
Building a RAG pipeline without OpenAI

Building a RAG pipeline without OpenAI

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2 min read
57. Decision Trees: The AI That Plays 20 Questions

57. Decision Trees: The AI That Plays 20 Questions

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8 min read
56. Logistic Regression: Classification With a Probability

56. Logistic Regression: Classification With a Probability

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8 min read
55. Multiple Regression: More Features, More Power (And More Ways to Break Things)

55. Multiple Regression: More Features, More Power (And More Ways to Break Things)

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7 min read
54. Linear Regression: Predicting Numbers From Patterns

54. Linear Regression: Predicting Numbers From Patterns

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7 min read
I trained my own LLM and published it on HuggingFace

I trained my own LLM and published it on HuggingFace

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2 min read
53. Overfitting: When Your Model Is Too Good at Being Wrong

53. Overfitting: When Your Model Is Too Good at Being Wrong

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7 min read
52. The Rule That Prevents You From Cheating Your Own Model

52. The Rule That Prevents You From Cheating Your Own Model

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7 min read
How I built a medical dataset pipeline for LLM fine-tuning

How I built a medical dataset pipeline for LLM fine-tuning

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2 min read
51. What Machine Learning Actually Is (No Hype)

51. What Machine Learning Actually Is (No Hype)

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6 min read
50. Virtual Environments: Why Your Projects Keep Breaking Each Other

50. Virtual Environments: Why Your Projects Keep Breaking Each Other

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6 min read
49. Google Colab: Free GPUs in Your Browser

49. Google Colab: Free GPUs in Your Browser

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7 min read
Jupyter Notebooks: Where Data Science Actually Happens

Jupyter Notebooks: Where Data Science Actually Happens

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7 min read
GitHub: Put Your Work Where Anyone Can See It

GitHub: Put Your Work Where Anyone Can See It

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7 min read
Setting up my ML environment from scratch: MedMind

Setting up my ML environment from scratch: MedMind

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2 min read
Git: Version Control For People Who've Lost Code Before

Git: Version Control For People Who've Lost Code Before

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7 min read
Python Meets SQL: Pandas and Databases Together

Python Meets SQL: Pandas and Databases Together

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7 min read
Window Functions: SQL's Most Powerful Feature Nobody Uses

Window Functions: SQL's Most Powerful Feature Nobody Uses

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8 min read
Subqueries and CTEs: SQL Gets Readable

Subqueries and CTEs: SQL Gets Readable

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6 min read
The Most Underrated Announcement at Google Cloud NEXT '26 Nobody Is Talking About

Google Cloud NEXT '26 Challenge Submission

The Most Underrated Announcement at Google Cloud NEXT '26 Nobody Is Talking About

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6 min read
Joins: Combining Tables Without Losing Your Mind

Joins: Combining Tables Without Losing Your Mind

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8 min read
Aggregations: Counting, Summing, and Averaging Your Data

Aggregations: Counting, Summing, and Averaging Your Data

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7 min read
SQL Basics: Talking to a Database for the First Time

SQL Basics: Talking to a Database for the First Time

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7 min read
Real Project: Analyze a Dataset End to End

Real Project: Analyze a Dataset End to End

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9 min read
Exploratory Data Analysis: How to Read a Dataset

Exploratory Data Analysis: How to Read a Dataset

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8 min read
Stop Making Dead Charts: Plotly and the World of Interactive Visualization

Stop Making Dead Charts: Plotly and the World of Interactive Visualization

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7 min read
Statistical Visualizations With Seaborn

Statistical Visualizations With Seaborn

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6 min read
Your First Plot: Matplotlib Without the Pain

Your First Plot: Matplotlib Without the Pain

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6 min read
OpenClaw Made Me Realize I've Been Using AI Wrong This Whole Time

OpenClaw Challenge Submission 🦞

OpenClaw Made Me Realize I've Been Using AI Wrong This Whole Time

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5 min read
Combining Datasets: Merge, Join, Concat

Combining Datasets: Merge, Join, Concat

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7 min read
Grouping Data to Find Patterns

Grouping Data to Find Patterns

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6 min read
Everyone Is Using LangChain. Here's Why the Smarter Devs Are Quietly Moving to AgentScope

Everyone Is Using LangChain. Here's Why the Smarter Devs Are Quietly Moving to AgentScope

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17 min read
Filtering Rows and Selecting Columns (The Right Way)

Filtering Rows and Selecting Columns (The Right Way)

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6 min read
Dirty Data: How to Find It and What to Do

Dirty Data: How to Find It and What to Do

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7 min read
Loading Data From Anywhere (And Why It Always Breaks the First Time)

Loading Data From Anywhere (And Why It Always Breaks the First Time)

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6 min read
Pandas DataFrames: Your Data Spreadsheet

Pandas DataFrames: Your Data Spreadsheet

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6 min read
NumPy Arrays: Why Not Just Use a Python List?

NumPy Arrays: Why Not Just Use a Python List?

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7 min read
Linear Algebra in NumPy: Math With Code

Linear Algebra in NumPy: Math With Code

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6 min read
The Bell Curve and Why It Shows Up Everywhere

The Bell Curve and Why It Shows Up Everywhere

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7 min read
24. Probability: How AI Deals With Uncertainty

24. Probability: How AI Deals With Uncertainty

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6 min read
23. Statistics Basics: Mean, Median, Variance

23. Statistics Basics: Mean, Median, Variance

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6 min read
22. Gradient Descent: How AI Learns

22. Gradient Descent: How AI Learns

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7 min read
21. Derivatives: Understanding Change

21. Derivatives: Understanding Change

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6 min read
20. Matrix Multiplication: Transforming Data Into Meaning

20. Matrix Multiplication: Transforming Data Into Meaning

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6 min read
19. The Dot Product: How AI Measures Similarity

19. The Dot Product: How AI Measures Similarity

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5 min read
18. Matrices: The Grid That Holds Your Entire Dataset

18. Matrices: The Grid That Holds Your Entire Dataset

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6 min read
17. Vectors: The Way Computers See Your Data

17. Vectors: The Way Computers See Your Data

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6 min read
16. Why AI Needs Math (And Why You Already Know Enough)

16. Why AI Needs Math (And Why You Already Know Enough)

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5 min read
15. Build a Data Processor: Your First Real Python Project

15. Build a Data Processor: Your First Real Python Project

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6 min read
14. Decorators: The Python Feature That Looks Like Magic

14. Decorators: The Python Feature That Looks Like Magic

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5 min read
13. Lambda, Map, and Filter: Functional Python Explained

13. Lambda, Map, and Filter: Functional Python Explained

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5 min read
12. Write a List in One Line (List Comprehensions)

12. Write a List in One Line (List Comprehensions)

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4 min read
11. How Python Borrows Other People's Work

11. How Python Borrows Other People's Work

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5 min read
10. When Code Breaks: How to Handle Errors Like a Pro

10. When Code Breaks: How to Handle Errors Like a Pro

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5 min read
9. Reading Files Without Breaking Everything

9. Reading Files Without Breaking Everything

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5 min read
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