Day 76/100 🚀 I’ve been learning consistently, and today I finally completed my pandas module! Handled missing data with: fillna, dropna, interpolate, replace, plus groupby & concat. On to the next stage! #100DaysOfCode #DataScience #Python

Learning too many tools can waste time. Focus on your data type, scale, and goal. Excel, SQL, or Python (with libraries) can handle most tasks efficiently. Small wins, less overwhelm, more impact. #DataAnalytics #Python #SQL #Excel #DataScience #BusinessIntelligence

Time series analysis is a statistical method used to analyze time-based data and understand trends, patterns, and relationships over time. https://t.co/scS0XPLean #DataScience #RStats #DataScientist #StatisticalLearning #machinelearning #datavisualizations

Understanding Matrices | Part 1: Matrix-Vector Multiplication The physical meaning of multiplying a matrix by a vector, and how it works on several special matrices. https://t.co/DD6leDQh3b by Tigran Hayrapetyan [ https://t.co/0nhovLUIOx ] v/ @TDataScience #DataScience #AI Cc

Almost done with my dashboard. Stay tuned #DataScience #VisualStorytelling

Day 90 - #DataScience Journey: -> Officially starting my Deep Learning journey! 🚀 -> Moving from traditional ML to Neural Networks (NNs) to tackle complex, unstructured data. -> The key: Representation Learning—NNs learn features automatically! #DeepLearning #NeuralNetworks #AI

📌📚Data visualization is not merely about creating pretty charts and graphs; it’s about distilling complex information into clear, concise visuals that facilitate understanding and decision-making. https://t.co/JmnxDMZIew #DataScience #datavisualizations #DataScientist #coding

Day 183 : DataScience Journey Training Update: So recently, been working on a VGG16 training run on an 8k imgs (Cats & Dogs dataset), but even after pushing through the first 10 epochs, the overall training time was way longer than expected. To add to it, the AWS instance I was

NEW 3I/ATLAS FOOTAGE FROM RAY!!! #3IATLAS #NotAComet #DataScience https://t.co/58mohoEb5S

A clear roadmap is essential to mastering Data Science. From math and programming to machine learning, NLP, deep learning and deployment—this is the full journey of a modern Data Scientist. A powerful blend of skills driving today’s data-driven innovation. #DataScience #AI

Practical #Statistics for #DataScientists — 50+ Essential Concepts Using R and #Python: https://t.co/4TRaP0qRqa —————— #Analytics #DataScience #AI #MachineLearning #ML #Mathematics #StatisticalLiteracy #DataLiteracy #DataFluency #DataAnalytics #Rstats

Hundred-Layer Photonic Deep Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #Statistics #Mathematics #100DaysofCode

Top Books on Artificial Intelligence. BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://t.co/8n22yzvD9s

Solving data analytics problems is a process: understand stakeholders, define objectives, collect & prepare data, explore & analyze it, communicate insights, and implement solutions. Continuous improvement turns data into impact. #DataAnalytics #ProblemSolving #DataScience #SQL

Supercharge your career with most in-demand fields of #AI. Stand-out & link your professional profile, with proficience certification courses, @CCE, Indian Institute of Science (IISc) #ML #LLM #LargeLanguageModels #DataScience #IISc #CCE #Upskill #CareerAdvancement #TechEducation

Best ML Courses- https://t.co/O1XTVtaOwY @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL

New Bayesian Structured Time Series example: predicting taco demand during #NeurIPS 2025 ⚡️ Learnable Dynamics 🔢 Non-Conjugacies 🏎️ Blazing Speed https://t.co/t23bDp7Lab #JuliaLang #BayesianInference #DataScience

Data doesn’t always follow rules I learned this the hard way. Here’s how I fixed it: ✔ Range checks ✔ Drop/Impute invalid values ✔ Convert messy date strings ✔ Remove duplicates Clean data = reliable insights. Always validate before you analyze. 📊✨ #DataScience #DataFam

Tutorials on Statistical Tests of Hypothesis: ANOVA; Chi Square; F-Test; Granger Causality; Likelihood-Ratio; Log Rank; Welch; Z-Test; +more... https://t.co/gvC97q9JYz ——— #DataScience #Statistics #DataLiteracy #StatisticalLiteracy ——— ➕See this book: https://t.co/Aq2zxD1nyx