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You will get Forecasting : using LSTM, ARIMA, SARIMAX, and RNN for Time Series Analysis

Ammara B.Status: Offline
Ammara B.
Preview image

Let a pro handle the details

Buy Machine Learning services from Ammara, priced and ready to go.
Ammara B.Status: Offline
Ammara B.
Preview image

Let a pro handle the details

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

Project details

Looking to make data-driven decisions through accurate time series forecasting? I specialize in advanced techniques, including LSTM, ARIMA, SARIMAX, and RNN, to provide comprehensive analysis tailored to your needs.

What I Offer:

Custom Forecasting Models: Tailored solutions for your specific dataset.
Data Preprocessing: Thorough cleaning and preparation for effective modeling.
Model Comparison: In-depth analysis to identify the best forecasting approach.
Visualizations: Clear visuals to help you understand forecasts and trends.
Comprehensive Reporting: Detailed reports on the modeling process and results.
Why Choose Me?

With a strong background in machine learning and statistical modeling, I am committed to delivering reliable insights. Whether in finance, sales, or any industry relying on forecasting, I can help you transform your data into valuable insights.

Let’s collaborate to unlock the potential of your data!
Machine Learning Tools
Python
What's included
Service Tiers Starter
$30
Standard
$50
Advanced
$90
Delivery Time 1 day 2 days 2 days
Number of Revisions
123
Number of Model Variations
233
Number of Scenarios
234
Number of Graphs/Charts
345
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
Source Code
-
-
Ammara B.Status: Offline

About Ammara

Ammara B.Status: Offline
Machine Learning | Deep Learning | Python | NLP | Data Scientist & AI
Multan, Pakistan - 2:58 am local time
I have 4 years of working experience in Recommendation System Algorithms. I am specialized in Recommendation System, Data Analysis, Feature Engineering, Machine Learning and Deep Learning. My technical skills are Python, Spark, Hive, SQL, Linux, Git.

My Skills:
☆ Python: Pandas, Numpy, Scikit-Learn, Tensorflow, Keras, OpenCV, Matplotlib, Seaborn ...
☆ Big Data : Pyspark, Hive, Scala
☆ Machine Learning: Random Forest, Xgboost, LightGBM, Catboost, LR, Kmeans ...
☆ Deep Learning: ARIMA, RNN, LSTM, Wide&Deep, DIN, YOLO
☆ Data Analysis
☆ Power BI
☆ SQL
☆ Linux Shell
☆ Git

I often process more than 100 million big data with Python and Spark, so I am good at optimizing codes and data processing methods when meet the problems of time limit and memory resources limit.

I am good at analyzing and discovering data regularities to improving algorithm evaluation results such as RMSE, MSE, Accuracy, Precision, Recall, AUC, F1 Score, etc.

I build features and models for Recommendation system to improve the CTR and get top N recommended products for users.

Time Series Forecasting with LSTM/RNN to predict the next N values.

Video/Images detection by Yolo.

Some of my projects experience:
● Analyzed users and products history data, based on Wide&Deep model to built financial product recommendation system for a bank, which leading to 5% increase on user’s clicking rate and 7% increase on product trades in a month.
● Predict the price of products, according to different cities price and products features, 72% different produces’ price are in the right range, which as a reasonable reference for company.
● Based on LightGBM, built nearby products recommender system which helped users choose the preference products, rose up 3% amounts of orders.
● Processed time series data, and based on LSTM model for time series predict, which can predict the future values.
● Spark tasks about RDD, UDF, DataFrame, Map, MapPartitions, etc.

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