I will build ml models for data prediction and analysis

D
divyansht01
D
divyansht01
divtiwari
build ml models for data prediction and analysis
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About this gig

Looking for an ML Developer who builds models on REAL data not just tutorials?


I build custom Machine Learning models that actually work 

trained on real-world datasets from NASA, SpaceX & live markets.


What I've Built:

- SpaceX Falcon 9 Landing Prediction 94% accuracy (Live SpaceX API)

- Bitcoin Price Prediction 72% accuracy (Live market data)

- NASA Asteroid Hazard Detection 92% accuracy

- Melbourne House Price Prediction (Regression)


️ What I'll Do For You:

- Data cleaning & preprocessing

- Exploratory Data Analysis (EDA)

- Feature Engineering

- ML model development (Random Forest, XGBoost)

- Data Visualization

- Detailed report with insights


Why Me:

- I use REAL data APIs, live feeds, not just CSV files

- Clean, well-documented code

- On-time delivery

- Unlimited revisions


Let's build something that actually works. Drop me a message!

  • Model expertise

    • Custom model development
    • Predicitive analyatics

  • Industry

    • Biotech
    • Crypto & blockchain
    • Data analytics
    • Financial services
    • Real estate

  • Programming language

    • Python

  • Language

    • English
    • Hindi

  • Technical expertise

    • Machine learning (Supervised, Unsupervised, Reinforcement)
    • Algorithm development and optimization
    • Feature engineering and data processing

Get to know divtiwari

divtiwari

Building Machine Learning Models Using Real World Data

  • FromIndia
  • Member sinceMay 2026
  • Avg. response time1 hour

  • Languages

    English
I am a Computer Science student with hands-on experience building real-world Machine Learning models using Python, XGBoost, and Scikit-Learn. I have successfully developed projects achieving 94% accuracy on SpaceX launch prediction, 99.44% on EEG brain emotion detection, and 92% on NASA asteroid classification. My focus is on delivering production-ready ML solutions with clean code, detailed documentation, and measurable results.

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