Building Bridges, No... • 2d
📊 Data Science Reality Check! Ever tracked how much time you actually spend on: ⏳ 60% Data cleaning & preprocessing 📊 20% Exploratory analysis 🤖 15% Model building 💡 5% Delivering insights The hard truth: We spend 12x more time preparing data than deriving value from it! What’s your ratio? Drop a ⏳ if this hits too close to home! #DataScience #DataAnalytics #BigData #MachineLearning
Building Myself l UG... • 5m
Excited to share my latest Power BI project: A comprehensive Financial Dashboard that provides deep insights into company performance! 📊 From multi-year trend analysis and shareholding patterns to key financial ratios (Operational, Liquidity, Lever
See MoreMachine Learning Ent... • 1y
The Importance of Analyzing Data 📊 Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid
See MoreTuring Data into str... • 26d
🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath
See MoreEntrepreneur and Ger... • 10m
Research is an effective way to know your audience at a deeper level🌟 In my opinion rather than just doing a basic research like a survey or questionnaire. One must do an in depth research like - ✅ A qualitative research ( You should interview pe
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