You will get time series forecasting project using python
Project details
Hey,
An excellent model for predicting business KPIs including stock market price, sales, turnover, and more is determined using time series analysis. It enables managers to comprehend current data patterns and examine trends in business metrics.
If you need to forecast time series data for sales, cryptocurrencies, stocks, etc. I'm skilled at doing it.
The models I will use for the time series forecasting are:
- Different Deep Learning Models like LSTM, RNN, GRU, etc.
- Machine Learning Models like Simple Exponential Smoothing (SES), Holt Winter’s Exponential Smoothing (HWES), XGBoost, etc.
- FBProphet
- Autoregressive (AR)
- Moving Average (MA)
- Autoregressive Integrated Moving Average (ARIMA)
- Seasonal Autoregressive Integrated Moving-Average (SARIMA)
- Vector Autoregression (VAR)
- Vector Autoregression Moving-Average (VARMA)
The services are not limited to this. I can make any project related to time series analysis and forecasting, feel free to tell me all the requirements of your project.
NOTE :
The price of the project can be varied according to the complexity. It would be highly appreciable to contact me before placing an order directly.
An excellent model for predicting business KPIs including stock market price, sales, turnover, and more is determined using time series analysis. It enables managers to comprehend current data patterns and examine trends in business metrics.
If you need to forecast time series data for sales, cryptocurrencies, stocks, etc. I'm skilled at doing it.
The models I will use for the time series forecasting are:
- Different Deep Learning Models like LSTM, RNN, GRU, etc.
- Machine Learning Models like Simple Exponential Smoothing (SES), Holt Winter’s Exponential Smoothing (HWES), XGBoost, etc.
- FBProphet
- Autoregressive (AR)
- Moving Average (MA)
- Autoregressive Integrated Moving Average (ARIMA)
- Seasonal Autoregressive Integrated Moving-Average (SARIMA)
- Vector Autoregression (VAR)
- Vector Autoregression Moving-Average (VARMA)
The services are not limited to this. I can make any project related to time series analysis and forecasting, feel free to tell me all the requirements of your project.
NOTE :
The price of the project can be varied according to the complexity. It would be highly appreciable to contact me before placing an order directly.
What's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 4 |
Number of Graphs/Charts | 3 | 6 | 8 |
Model Validation/Testing | - | - | |
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $30
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 1 Day)
+$5
Model Validation/Testing
(+ 1 Day)
+$5
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SB
Salim B.
May 27, 2024
Time Series Forecasting
Shagun did great work on the econometric model as well as on the deep learning model. She also delivered the work early. I truly recommend working with her!!
SC
Sai C.
Sep 23, 2022
Data Exploration & Python
JT
Jordi T.
Sep 18, 2022
Complete Jupyter notebook with a simple Neural Network
Shagun did a great job! Thank you Shagun!
DS
David S.
Aug 13, 2022
You will get machine learning and data science projects using python in jupyter notebook
Ayushi is incredible!!! Great communicator. Great work product. Great partner and strategist. She even delivered early. If you have an ML project that included TensorFlow, Anaconda/Jupyter and Pyhton, Ayushi will be an incredible fit. I look forward to working with her again!
About Shagun
Data Scientist
Bengaluru, India - 10:27 pm local time
Steps for completing your project
After purchasing the project, send requirements so Shagun can start the project.
Delivery time starts when Shagun receives requirements from you.
Shagun works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis
EDA is performed to understand the dataset.
Project Completed
Completed the project based on the clients requirements.