#Data Lab

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intersoft data labssocial data lab 디시lab datapeople data labs revenue growjowhat laboratory tasks can be streamlined using metrohms lab data management softwaredataingleaked labs data breach investigationgrowjo people data labs revenueexposys data labsfire data lab

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#Data Lab Reel by @fundacion_spb - Desde la Fundación de la Sociedad Portuaria Regional de Buenaventura y su Centro de Innovación Uramba seguimos impulsando oportunidades de formación e
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@fundacion_spb
Desde la Fundación de la Sociedad Portuaria Regional de Buenaventura y su Centro de Innovación Uramba seguimos impulsando oportunidades de formación en tecnología para jóvenes de la ciudad. En alianza con DataKnow, a través del programa DataLab, los participantes fortalecen habilidades en análisis de datos, programación y herramientas tecnológicas que amplían sus oportunidades de desarrollo profesional. Este laboratorio de datos conecta el talento de Buenaventura con las oportunidades del mundo digital y demuestra cómo la educación tecnológica impulsa nuevos caminos para la región. Al finalizar la formación, los participantes con mejor desempeño podrán acceder a oportunidades laborales en el sector tecnológico con DataKnow. Seguimos apostándole al talento local y al desarrollo tecnológico de Buenaventura. #DataLab #Buenaventura #FSPB #TalentoLocal #Tecnología #TransformaciónDigital
#Data Lab Reel by @priyal.py - 1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn
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@priyal.py
1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn 2. Spotify Audio Feature Analyzer Analyze songs by tempo, energy and danceability using Spotify API. Tech Stack: Python, Spotipy, Matplotlib, Plotly 3. YouTube Trending Video Analyzer Discover what makes a video go viral. Tech Stack: Python, Pandas, BeautifulSoup, Seaborn 4. Resume Scanner using NLP Parse and rank resumes based on job description matching. Tech Stack: Python, SpaCy, NLTK, Streamlit 5. Crypto Price Predictor Predict BTC/ETH prices using historical data. Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib 6. Instagram Hashtag Recommender Suggest hashtags based on image captions or niche. Tech Stack: Python, NLP, TF-IDF, Cosine Similarity 7. Reddit Sentiment Tracker Analyze community sentiment on hot topics using Reddit API. Tech Stack: Python, PRAW, VADER, Plotly 8. AI Job Postings Dashboard Scrape and visualize job trends by tech stack and location. Tech Stack: Python, Selenium/BeautifulSoup, Streamlit 9. Airbnb Price Estimator Predict listing prices based on location and amenities. Tech Stack: Python, Scikit-learn, Pandas, XGBoost 10. Food Calorie Image Classifier Estimate calories from food images using CNNs. Tech Stack: Python, TensorFlow/Keras, OpenCV Each project can be completed in 1-2 weekends. #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
#Data Lab Reel by @chisme.universitario - ¿Estudias una carrera STEM y estás entre 7mo y 9no ciclo? ¡Entonces este reel es para ti! 👇 Interseguro trae Data Lab, un programa de de prácticas p
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@chisme.universitario
¿Estudias una carrera STEM y estás entre 7mo y 9no ciclo? ¡Entonces este reel es para ti! 👇 Interseguro trae Data Lab, un programa de de prácticas preprofesionales, en donde vas a potenciar tus conocimientos en data, estrategias y generar impacto real. ¡Imagina aprender de los mejores! 🤯 No dejes pasar esta oportunidad. Al finalizar los 6 meses de prácticas pre profesionales, ¡los mejores tendrán la opción de ser contratados! Postula ya en el link de la bio. ¡No te quedes fuera! 🏃‍♂️💨 #DataLab #Interseguro #PrácticasPreProfesionales #OportunidadLaboral #Ingeniería
#Data Lab Reel by @chrisoh.zip - The best projects serve a real use case Comment "data" for all the links and project descriptions #tech #data #datascience #ml #explore
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@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore
#Data Lab Reel by @jessramosdata (verified account) - Comment "project" for my full video that breaks each of these projects down in detail with examples from my own work. If you're using the Titanic, Ir
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@jessramosdata
Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!
#Data Lab Reel by @sdw.online (verified account) - A data warehouse is a single source of truth that helps business functions perform their data analysis operations easier. Here's what a simple data
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@sdw.online
A data warehouse is a single source of truth that helps business functions perform their data analysis operations easier. Here's what a simple data warehouse looks like: 1. Data sources 2. Bronze layer 3. Silver layer 4. Gold layer 5. Analytics There's so much more that goes into a data warehouse (e.g. ingestion frequency, data governance policies, data validation checks etc), but this is a high level design you can start with. Different companies may configure the stages in different ways according to their users' unique requirements, but the generic workflow applies to all! #dataanalytics #dataengineering #datascience #techtok #dejavu
#Data Lab Reel by @volkan.js (verified account) - Comment "Link" to get the links! You Will Never Struggle With Data Structures & Algorithms Again 🔗 Explore these free visualization tools: 1️⃣ vis
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@volkan.js
Comment "Link" to get the links! You Will Never Struggle With Data Structures & Algorithms Again 🔗 Explore these free visualization tools: 1️⃣ visualgo.net 2️⃣ cs.usfca.edu 3️⃣ csvistool.com Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work. Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals. Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
#Data Lab Reel by @volkan.js (verified account) - Comment "DATABASE" for the links. You Will Finally Understand Databases & SQL 📌 Watch these high-quality database videos: 1️⃣ Harvard CS50's Intro
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@volkan.js
Comment “DATABASE” for the links. You Will Finally Understand Databases & SQL 📌 Watch these high-quality database videos: 1️⃣ Harvard CS50’s Intro to Databases with SQL A full university-level course covering SQL, relational databases, schemas, queries, joins, indexes, and real-world database fundamentals. 2️⃣ 7 Database Paradigms (Fireship) A fast, clear breakdown of different database types including relational, NoSQL, key-value, document, graph, and when to use each. 3️⃣ Database Design Course (Caleb Curry) A beginner-friendly guide to database design, normalization, relationships, primary keys, and planning databases the right way. If SQL feels confusing, database design feels abstract, or you’re unsure how real systems store and organize data, these videos connect everything together step by step. Great for learning SQL basics, understanding relational vs NoSQL databases, improving backend fundamentals, preparing for interviews, and building real projects that use databases properly. Save this if you want database concepts to finally make sense instead of memorizing queries.
#Data Lab Reel by @atefi.ch (verified account) - Major Homelab Upgrade to 100Gbps The backbone of my homelab is now running at 100 Gbps over QSFP28. The Mikrotik router, two D-Link datacenter switch
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@atefi.ch
Major Homelab Upgrade to 100Gbps The backbone of my homelab is now running at 100 Gbps over QSFP28. The Mikrotik router, two D-Link datacenter switches, and my main server are all upgraded to full 100 Gb connectivity. Alongside the core network, I also deployed a second 20 Gb network using Zyxel hardware for isolated traffic. Core design highlights: • 100Gb QSFP28 backbone • VLAN segmentation for Lab / Storage / Management • Independent 20Gb network for security and routing scenarios Hardware Used • Mikrotik ROSE Data Server (RDS) – main router/firewall handling routing, BGP, and L3 • Zyxel USG 700H – security gateway for the secondary network, VPN & UTM • D-Link DXS-3610-54S/SI/E – 10/25/100Gb L3 switch for Core/Distribution • HPE ProLiant ML350 Gen11 with 4× NVIDIA SFP28 – server with four 25 Gb links (LAG/LACP for 100 Gb aggregates) #homelab #networking #100GbE #QSFP28 #server
#Data Lab Reel by @data_pumpkin - In my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and "works on my machine" chaos. T
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@data_pumpkin
In my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and “works on my machine” chaos. These 4 tools fixed that: • dbt → modular, documented SQL transformations • Polars → faster, cleaner alternative to pandas • FastAPI → quick, reliable model deployment • Docker → consistent environments, no more deployment nightmares If you’re just starting out, learning these early will save you months of frustration.
#Data Lab Reel by @greghogg5 (verified account) - How to Learn Data Structures & Algorithms For FREE - AlgoMap #java #software #softwarejobs #softwareengineer #datastructures #leetcode #programming #j
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@greghogg5
How to Learn Data Structures & Algorithms For FREE - AlgoMap #java #software #softwarejobs #softwareengineer #datastructures #leetcode #programming #javadeveloper #datastructuresandalgorithms #python #softwaredeveloper #code #FAANG #coding #javascript #javascriptdeveloper #codingisfun #codinginterview #js #html #css #sql
#Data Lab Reel by @danangkumara - Belajar Data Science dan Machine Learning jadi lebih mudah dengan Orange Data Mining! 🍊💻 Tutorial lengkap ini akan membantu Anda memahami analisis d
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@danangkumara
Belajar Data Science dan Machine Learning jadi lebih mudah dengan Orange Data Mining! 🍊💻 Tutorial lengkap ini akan membantu Anda memahami analisis data interaktif tanpa coding. Langkah mudah untuk menguasai dunia Data Science! 🚀 #BelajarDataScience #OrangeDataMining #DataScience #MachineLearning #AIProjects #TutorialDataScience #DataAnalysis #TeknologiTerkini #BelajarMachineLearning #InteractiveData #InovasiTeknologi #DataMiningTools #AICommunity #DataEnthusiast #FutureTech

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