Sptrop

  How to Build a Data Analyst Portfolio With ZERO Experience (The Part Everyone Avoids) Let’s clear something up immediately: If you’re learning data analytics and don’t have a portfolio, you are invisible to recruiters. Courses won’t save you. Certificates won’t save you. And no, “I’m still learning” is not an excuse anymore. Most beginners fail here — not because they’re stupid, but because they’re confused about what actually counts as experience . First: Stop Waiting for “Real” Experience Here’s the uncomfortable truth: Companies don’t care where your experience came from. They care what you can do . If you’re waiting for: an internship a first job permission to start You’ve already lost months for no reason. A portfolio project is experience if: it solves a real problem it uses real data you can explain your thinking That’s it. No magic. The Biggest Portfolio Mistake Beginners Make They build toy projects . Examples: random Kaggle noteboo...

  Is Data Analytics Worth It for Non-Tech People in 2026? Everyone keeps saying “learn data analytics” like it’s a shortcut to money. It’s not. For some people, data analytics is a solid career move. For others, it’s a frustrating waste of time. If you’re from a non-tech background and thinking about data analytics mainly for better income , this post will tell you the truth most blogs avoid. What Is Data Analytics ? Data analytics means: looking at data understanding what it shows helping businesses make better decisions You are not building apps or complex software. You are answering questions like: Why did sales drop? Which product performs best? Where is the problem? If you like understanding patterns and solving problems, this matters more than being “good at tech.” Is Data Analytics Still Useful in 2026? Yes — because companies will always need people who can understand data . Businesses are collecting more data every year. But data alone is ...

🎭 Building a Robust Real-Time Emotion Detection System Using Ensemble Learning   🔗 GitHub Repository: https://github.com/KToppo/Emotion-Detection-ML Human emotion recognition has emerged as a powerful tool in modern AI applications—ranging from digital well-being solutions to marketing analytics and interactive systems. In this project, I built a Real-Time Emotion Detection System that uses a camera feed or an image URL to classify a person’s facial expression into one of several emotion categories. The complete project — including code, models, pipelines, and demo — is available on GitHub: 👉 https://github.com/KToppo/Emotion-Detection-ML This blog documents the entire journey — from data preprocessing to final deployment — and highlights the experiments, improvements, and insights gained along the way. 📂 Project Structure Here is the complete directory structure: ├── models/ │ ├── labels_1.pkl │ ├── labels_2.pkl │ ├── labels_3.pkl │ ├── M1SMOTE_boost.png │ ├── M1...

Recommendation systems are used in many of the apps we use every day – from Netflix suggesting movies to Amazon recommending products . As a book lover and data science enthusiast , I wanted to create a system that helps readers find new books based on what they like . In this post , I’ll walk you through how I built a Book Recommendation System using Python , Streamlit , and Collaborative Filtering .   📌 Project Overview The goal was to create a simple yet effective web app that: * Shows the Top 50 most popular books based on average ratings.   * Recommends similar books to a user - selected title using collaborative filtering.   * Provides a clean , interactive user interface built with Streamlit.   📁 Dataset I used the Book Recommendation Dataset from Kaggle, which includes : * Books.csv – Book details like title , author , and image URL * Users.csv – User demographic data * Ratings .csv – Book rat...

The Cornerstones of Success: Simplicity, Innovation, and Customer Centricity In the dynamic world of business, the path to enduring success is rarely linear. However, certain fundamental principles consistently guide organizations towards profitability and longevity. Based on the inspiring journeys of Veeba, Jumbo King, and Royal Enfield, we can identify three core elements: Simplicity, Innovation, and Customer Centricity . 1. Simplicity as the Foundation: Veeba: The brand's inception focused on a limited product line, prioritizing quality and safety above all else. The founder's unwavering commitment to serving only products he would feed his own children instilled a strong foundation of trust and quality. Jumbo King: The initial focus was laser-sharp: to provide fresh, fast, and consistently high-quality Vada Pavs. This simplicity allowed them to perfect their core offering before expanding. Royal Enfield: Siddhartha Lal recognized the need for a focused approach. He stre...

Leveraging Jupyter Notebooks with VS Code: A Comprehensive Guide Visual Studio Code, a popular and versatile code editor, offers seamless integration with Jupyter Notebooks, providing data scientists and developers with a powerful environment for interactive data analysis. This guide will walk you through the steps of setting up and using Jupyter Notebooks within VS Code, taking full advantage of its autocompletion features. Prerequisites: VS Code: Ensure you have the latest version installed. Python: Python should be installed on your system. Jupyter Notebook: Jupyter Notebook needs to be installed. Step-by-Step Guide: Open Your Workspace: Launch VS Code and navigate to the folder where your Jupyter Notebook files are saved. This can be done using the File Explorer within VS Code. Install Jupyter Notebook Extension: If not already installed, search for the "Jupyter" extension in the VS Code extensions marketplace and install it. This extension provides essential feat...

Predicting Your Portfolio's Future: Unveiling the Code Hey financial wizards and data enthusiasts! Today, we're diving into the world of Python and portfolio prediction. We'll be dissecting a code script that helps you estimate the future risk and return of your investment choices. But first, a disclaimer: Predicting the market with absolute certainty is a fool's errand. This script is a tool to inform your decisions, not a magic crystal ball. Now, let's crack the code! The script utilizes the nselib library to access historical stock data from the National Stock Exchange of India (NSE). Here's a breakdown of the key functions: format_data : This function takes a list of stock symbols and retrieves their closing prices for the past year. It then cleans and formats the data into a Pandas DataFrame for easy analysis. Expected_risk : This function calculates the expected risk of your portfolio based on the weights assigned to each stock and their historical co...

Codec Error I was using Kazam to record my Kali Linux screen and exported the recordings to Windows for editing, as Linux isn't as robust for video editing. The editor was throwing a codec error because the recordings were in H.264 (.mp4) format. Kazam doesn't offer much flexibility to change codecs, so manual re-encoding was necessary. This codec error isn't exclusive to Kazam recordings. Other videos in the same format might encounter similar issues and can likely be resolved with the same solution. Solution I re-encoded the video files using FFmpeg. To streamline and automate the process, I created a Python script to re-encode all video files within a specified folder. You can find the code and explanation below.   Installing Dependencies Make shoure to have all the required pakages sudo apt update sudo apt install ffmpeg   Code Explanation This Python script is designed to process video files within a specified directory. It performs the following tasks: Prompts for In...

New Sketch By:- sptrop Hello friends I'm back with another sketch. This time I tried to keep things simple as last time I was kind a get messed up, but it's really looks kind a bit empty. I will may tray, few things with it later. I completed this piece in just one day, unlike my previous one (3 days) but I get messed up as well, especially with her face. I really think I have a long way to go with faces specially while drawing a whole body portrait. I don't understand! When I practiced face in parts they came out pretty well, but when I put all together I get messed up. Even in this sketch I don't know how many time I redraw the face, but still, it's not even near to be good. Only off thing I can tell about my sketch is its face.   My Planes To Improve Portraits I have decided to learn only faces for next 30 days But the question is how and from where I can learn. Being a self learning artist is itself a challenge. Basically, I want to say, I have no one to tell ...