Turing Data into str... • 13h
🌦 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 weather data. Using regression techniques, I was able to compare the predicted temperatures against the actual values, and the results were quite promising! 📈 Visualization: Here’s a scatter plot showing the relationship between actual and predicted temperatures. The red dashed line represents the ideal prediction line, and the model closely follows it, indicating good performance. 🛠 Technologies Used: Python Pandas & NumPy Scikit-learn Matplotlib & Seaborn 🔍 Skills Demonstrated: Data Cleaning & Preprocessing Regression Modeling Model Evaluation Data Visualization I’m continuously learning and working on more data science projects like this. If you’re also working in this space or have feedback, I’d love to connect! 🤝
Do not try, just do ... • 1y
Random Thought : I was wondering, why ChatGPT weren't build on the Increment Learning modle.. Because I might destroy it's algo.... Let me expain.. In the world of machine learning, training models can be approached in two main ways, Batch Lea
See MorePassionate about tec... • 5m
Hi everyone , if you are a beginner in Data Science or wish to start , then this post is for you. Linear Regression is one of the first things you need to learn in ML. It is not just about the code . Code is not the important thing, you can make Chat
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Climate Change Impacts: Stories about the effects of climate change on weather patterns, sea levels, and temperatures might be trending. A poll could gauge public awareness of climate change issues and opinions on mitigation strategies. What you want
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Seeking Data Science Internship FIT-U: AI fitness app using OpenCV, Flask, and MediaPipe for real-time bicep curl tracking. NYC Taxi Fare Prediction: Reduced RMSE to $3.22 with XGBoost using just 1% data. Mushroom Classification: Achieved 98.3% MC
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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
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