You will get a stock market prediction app for your business.

Piotr Z.Status: Offline
Piotr Z.

Let a pro handle the details

Buy Machine Learning services from Piotr, priced and ready to go.
Piotr Z.Status: Offline
Piotr Z.

Let a pro handle the details

Buy Machine Learning services from Piotr, priced and ready to go.

Project details

This is a stock prediction tool that uses three approaches: Reinforcement Learning, Gaussian Process, and Augmented AutoCorrelation to generate insightful equity price forecasts.
Machine Learning Tools
Keras, NumPy, pandas, Python, TensorFlow
What's included
Service Tiers Starter
$50
Standard
$70
Advanced
$100
Delivery Time 5 days 7 days 10 days
Number of Revisions
235
Number of Model Variations
333
Number of Scenarios
333
Number of Graphs/Charts
333
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
Source Code
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$75 - $150
Piotr Z.Status: Offline

About Piotr

Piotr Z.Status: Offline
Data Scientist | AI/ML Expert
Etulia, Moldova - 10:01 pm local time
As a passionate & innovative data scientist, I have huge interest in predictive models and machine learning.
I got a Bachelor's degree in computer science from Technical University of Moldova in 2016.
I experienced almost all major technical stacks on data science/engineering and app development.

👍 Field of project what I have experience
TensorFlow, PyTorch, Pandas, ChatGPT, HuggingFace, ML Predictive Modeling, Reinforcement Learning, LSTM, Recommendation Engine, Deep Learning, Computer Vision, OCR, GAN, DeepFake, Stable Diffusion, Voice Clone, Time Series Analysis/Forecasting, Chatbot, Sports betting, Trading Bot, Scraping, NLP, etc.

Let's discuss how I can help your project from my background on Artificial Intelligence and Machine Learning knowledgement.

Steps for completing your project

After purchasing the project, send requirements so Piotr can start the project.

Delivery time starts when Piotr receives requirements from you.

Piotr works on your project following the steps below.

Revisions may occur after the delivery date.

Train policies.

Implement three approaches: reinforcement learning, Gaussian processes, and augmented autocorrelation to generate insightful stock price predictions.

Predict.

Print graphs and predicted figures.

Review the work, release payment, and leave feedback to Piotr.