Back

Anshuman Sharma

Turing Data into str... • 1m

🌦 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! 🤝

Reply
2

More like this

Recommendations from Medial

Ankit

Turning Data into De... • 1m

Hi everyone! 👋 I’m Ankit Rai, currently pursuing my MCA with a specialization in Data Science and have recently completed “The Ultimate Job Ready Data Science Course” by CodeWithHarry, focusing on real-world projects using Python, SQL, Machine Learn

See More
Reply
6

Rakshith

Hey I am on Medial • 11m

Looking for an 6 months intership with little to no less stipend.Proficient in Data Analysis, Visualization,Machine Learning.

Reply
2
Image Description

Comet

#freelancer • 8m

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

See More
2 Replies
2
5
Image Description

Priyanshu

Priyanshu • 4m

🚀 Excited to share my latest project: Sonar vs. Rock Prediction! 🎯 Using machine learning, I've developed a model that predicts rocks from sonar data. Ideal for geophysics and exploration! 🌍💡 Check it out and share your thoughts! #MachineLearning

See More
1 Reply
2

Gigaversity

Gigaversity.in • 1m

Mastering the right algorithms sets you apart in 2025! 🔍📊 From understanding patterns with Regression, uncovering hidden segments through K-Means Clustering, to predicting future trends using Time Series Forecasting — these 3 are a must in every da

See More
Reply
5
Image Description
Image Description

lakshya sharan

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 More
2 Replies
5

Devashish Belwal

Hey I am on Medial • 17d

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

See More
Reply
4

Vedant Patel

Hammer it until you ... • 22d

Hii I am building a ai tool which interprets and make data visualization chart/ dashboard for better understanding of data and provide key data metrics I am seeking validation and does that idea make sense. As this will not only save time for dat

See More
Reply
3

Sarathkumar ES

Data Analyst • 22d

Hello Midial! Excited to be here. I’m Sarath Kumar, a passionate and curious aspiring Data Analyst transitioning from a solid background in insurance and client management into the world of data, insights, and innovation. With hands-on experience in

See More
Reply
2

Roktim Taye

Eat well and code we... • 1d

A next advance step towards ML model working flow by learning and demonstrating a simple Linear regression Algorithm. It's an exciting and fun step after learning and understanding practically the concepts of NumPy, Pandas , Matplotlib and Sklearn f

See More
Reply
3

Download the medial app to read full posts, comements and news.