You will get Time Series Forecasting/Anomaly Detection System/Model
Project details
š Time Series Prediction: š
Prophet: The Prophet allows us to capture complex seasonality and holidays, providing remarkably accurate forecasts. šš
EWMA (Exponentially Weighted Moving Average): Leveraging EWMA, we deliver responsive predictions that adapt to changing data patterns with ease. šš§®
SVM (Support Vector Machine): We harness SVM's robustness to handle non-linear data and make predictions that outshine traditional methods. š¤š
ARIMA (AutoRegressive Integrated Moving Average): Our ARIMA expertise allows us to model intricate time series, unraveling hidden trends. šš
LSTM (Long Short-Term Memory): Implementing LSTM with feature aggregation and windowing, we deliver precise, deep-learning-based forecasts that adapt to dynamic data streams. š§ š
šµļø Anomaly Detection: š
PyCaret: With PyCaret's automation, we expedite model selection and tuning, offering faster insights and superior results āļøš
Graph Autoencoder: We introduce an innovative approach using Graph Autoencoder, enhancing multivariate anomaly detection with attention mechanisms. šš¤Æ
I'll integrate with FastAPI, Flask, and Streamlit and deploy on the cloud if needed or real-time forecast on GCP.
Prophet: The Prophet allows us to capture complex seasonality and holidays, providing remarkably accurate forecasts. šš
EWMA (Exponentially Weighted Moving Average): Leveraging EWMA, we deliver responsive predictions that adapt to changing data patterns with ease. šš§®
SVM (Support Vector Machine): We harness SVM's robustness to handle non-linear data and make predictions that outshine traditional methods. š¤š
ARIMA (AutoRegressive Integrated Moving Average): Our ARIMA expertise allows us to model intricate time series, unraveling hidden trends. šš
LSTM (Long Short-Term Memory): Implementing LSTM with feature aggregation and windowing, we deliver precise, deep-learning-based forecasts that adapt to dynamic data streams. š§ š
šµļø Anomaly Detection: š
PyCaret: With PyCaret's automation, we expedite model selection and tuning, offering faster insights and superior results āļøš
Graph Autoencoder: We introduce an innovative approach using Graph Autoencoder, enhancing multivariate anomaly detection with attention mechanisms. šš¤Æ
I'll integrate with FastAPI, Flask, and Streamlit and deploy on the cloud if needed or real-time forecast on GCP.
Machine Learning Tools
Google AutoML, MLflow, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 9 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 2 | 2 | 3 |
Number of Scenarios | 2 | 2 | 2 |
Number of Graphs/Charts | 3 | 3 | 4 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Soumen
Time Series, CV, NLP and DS Projects Development and Deployment
Bogra, BangladeshĀ - 11:27 am local time
š Unlock the potential of Data Science, Machine Learning, and Deep Learning with me. A specialist in ML, CV, NLP, and Time Series Analysis, I manage projects comprehensively ā from analysis to deployment. Navigate projects using Transformers, and Graphs, leveraging attentive Autoencoders. I excel in
Time Series Prediction(Prophet, Graph Autoencoder, BILSTM) like Price Forecasting, Anomaly detection. Machine Vision(GAN, MASK R-CNN, etc.) like image segmentation to classification, tracking, and NLP(Transformers, LLMs, etc.) like distilling vast text into impactful summaries to the chatbot/LLMA2. BigQuery, DataFlow, Pub/Sub, Vertext AI/Pipeline, Vertex Vision AI, AutoML, Generative AI Studio, GCP.
Details of My Accomplished Projects link are provided on the portfolio link.
Thank you.
Ping me with your project details.
Steps for completing your project
After purchasing the project, send requirements so Soumen can start the project.
Delivery time starts when Soumen receives requirements from you.
Soumen works on your project following the steps below.
Revisions may occur after the delivery date.
The client delivered requirements, I completed.
The client first gives me the proposal, I'll review it and make sure the project is implementable, then ask him/her to purchase. I'll modify, update, and revise the work If needed. Client satisfaction will be my first priority with the work quality.