Staying consistent and learning by doing. Today, I worked on turning raw video data into structured datasets: ✔️ Extracted frames using Python scripts ✔️ Collected ~250 logo-specific frames ✔️ Organized data for computer vision tasks Each small task is helping me better understand how quality data is prepared and why it matters for model performance. Focused on improving every day. #DataAnnotation #ComputerVision #Python #MachineLearning #LearningInPublic

Built a python library that creates AI agents when a user enters a prompt with a purpose and the library provides the required agents with tools to the user. Link to the repository down below. Open to contributions. https://lnkd.in/gyJ7n3DY #Python #AI #OpenSource #AgenticAI #LLM #BuildInPublic #MachineLearning #SoftwareEngineering

📊 Exploring Data Relationships using Python! Implemented Correlation Matrix Visualization using Heatmaps and Pair Plots to understand relationships between features in the California Housing Dataset. Also applied Principal Component Analysis (PCA) to reduce dimensionality from 4 features to 2 in the Iris dataset. Tools used: Python | Pandas | Seaborn | Matplotlib | Scikit-learn #DataScience #MachineLearning #Python #DataVisualization #PCA #AI

Interviewer: Python is slow compared to C++. Then why do top AI companies use it to build the world's most powerful models?

Python is one of the most powerful languages for data science, thanks to its rich ecosystem of libraries that simplify data analysis and machine learning. Here are some essential libraries every data professional should know: #Python #DataScience #MachineLearning #AI #DeepLearning

Applying ANOVA analysis in Python 📊 Used Statsmodels and Pandas to examine whether Total Liabilities significantly differ based on TAD (Total Asset Dummy) in the financial dataset. Learning how statistical techniques help uncover meaningful financial insights. #Python #DataAnalytics #ANOVA #FinancialAnalysis #LearningByDoing 🚀

🏠 Built a Housing Price Prediction model using Linear Regression to estimate property prices based on housing features. Performed EDA, feature analysis, and model evaluation using Python and Scikit-learn. Using data to understand real estate price patterns 📈 #Oasis Infobyte #MachineLearning #Python #DataScience #LinearRegression

Master Python, AI Prompt Engineering, and Copilot in minutes...not days! Learning Taxi makes real skills simple with step-by-step microlearning. #python #promptengineering #copilot

It’s a super useful tool for machine learning in Python! Basically, it makes building and training models way easier. A really popular choice for data scientists. 🙌 #scikitlearn #machinelearning #python #datascience #ai

Check out the Statistics Globe Hub, an ongoing learning stream that helps you stay up to date with statistics, data science, AI, and programming using R and Python: https://lnkd.in/e5YB7k4d #RStats #python #datascience #Statistics #AI #statisticsglobehub