You will get machine learning and Predictive model
Project details
Stock price prediction model using LSTM to forecast future trends based on historical OHLCV data. Compared results with regression models and optimized through feature engineering and preprocessing.
Skills: Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch), SQL, Data Cleaning, Feature Engineering, Machine Learning, Deep Learning, Time-Series Forecasting, Data Visualization.
What I Can Do: Build and optimize predictive models (LSTM, RNN, regression, classification), design end-to-end data pipelines, preprocess large datasets, and deliver actionable insights with clear visualizations
Skills: Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch), SQL, Data Cleaning, Feature Engineering, Machine Learning, Deep Learning, Time-Series Forecasting, Data Visualization.
What I Can Do: Build and optimize predictive models (LSTM, RNN, regression, classification), design end-to-end data pipelines, preprocess large datasets, and deliver actionable insights with clear visualizations
Machine Learning Tools
Apache Spark, ChatGPT, deeplearn.js, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, NumPy, OpenCV, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 0 | 1 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 1 | 3 |
Number of Graphs/Charts | 1 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
About Adil
Data Science and Machine Learning
Karachi, Pakistan - 4:48 am local time
Steps for completing your project
After purchasing the project, send requirements so Adil can start the project.
Delivery time starts when Adil receives requirements from you.
Adil works on your project following the steps below.
Revisions may occur after the delivery date.
Revisions (if requested)
revisions are made before final approval

