Decline Curve Analysis for Gas Well Machine Learning Model

Built an 8086 Register Visualizer in Python Here’s what it does: • Simulates register changes step-by-step   • Tracks flags in real-time   • Helps visualize assembly execution   Tech: Python, Tkinter   GitHub: https://lnkd.in/gcV7Y47p #Python #DSA #AI #8086

"Fisher-Pearson Moment based Coefficient of Skewness" self made statistical function in python. Types of Skewness are Negatively Skewed, Symmectric (Not Skewed), Positively Skewed. #python #DataScience #statistics #skewness #fisher #pearson #moment #sample #population #coefficient #data #distribution #negative #positive #bias #symmectric #gamma

🚀 Text Generation Project | Prodigy InfoTech Developed a machine learning-based text generator using Python. The system processes input queries and returns the most relevant output 🔧 Tech Stack: Python | pandas | scikit-learn | NumPy 📈 Gained hands-on experience in: * Text preprocessing * Feature extraction * Similarity-based prediction Looking forward to building more AI-powered applications. #ProdigyInfoTech #AIProjects #PythonDeveloper #TechJourney

Day 32 at Luminar Technolab Focused on file handling in Python, reading data from files, processing it, and extracting useful insights. A small step closer to handling real world data. #Python #FileHandling #LearningJourney #ContinuousGrowth

Today, I learned how to take user input in Python using the input() function. This allows programs to interact with users and collect data such as name, age, and city. I also learned how to convert input into numbers using int() and float(), which is very important for calculations and data processing. #Day2 #Python #LearningJourney #DataScience #MachineLearning #Consistency

Check univariate distribution of the predictor data that will be created for machine learning modeling for determining house prices in Boston using Python. Data source: US Services. #python #datascience #machinelearning #house #pricing #houseprice

Check bivariate correlation matrix of the predictor data that will be created for machine learning modeling for determining house prices in Boston using Python. Data source: US Services. #python #datascience #machinelearning #house #pricing #houseprice

🎥 Project Explanation Video Here is my explanation for Iris Flower Classification project using Machine Learning. 🔗 GitHub Link: https://lnkd.in/gKwJNFrr #DataScience #MachineLearning #Python #CodeAlpha

Learn machine learning with Python and discover how to apply it to real-world problems with this comprehensive guide #MachineLearningWithPython Read the full article

Creating example datasets has never been this easy. With the drawdata library in Python, you can sketch your data and turn it into a dataset in seconds. You can create clusters, trends, and outliers exactly the way you need. I just released a new module on this in the Statistics Globe Hub: https://lnkd.in/e5YB7k4d #datascience #python #machinelearning #statistics #dataanalysis #datavisualization #programming #ai #statisticsglobehub