- ๐ Hi, Iโm @Fadhilahnur, a Data Scientist
- ๐ Strong and skillful in Data Analysis using Python,R, and SQL
- ๐ My long term goal is to create a forecast and planning simulation software using Python capturing all the trend and get prediction using the best model from modelling analysis
- ๐ฑ Knowledgeable of business logic of SAP Business One Client and SAGE 300 ERP
- ๐ฑ Proficience in Data Visualization - Power BI and Tableau
- ๐ฑ Expert in Advanced Machine Learning (XGBoost, Random Forest,LSTM,RNN,etc.) and Timeseries forecasting techniques (ARIMA, SARIMA, Linear Regression, Logistic regression, Lasso regression, Monte Carlo simulation)
- ๐๏ธ Iโm looking to collaborate on all the above
- ๐ซ How to reach me: just email me at nurila80@gmail.com
-
RETES
- MALAYSIA
- https://www.linkedin.com/in/fadhilah-nur-binti-ismail/ |
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Agriculture-Crop-Recommendation-Algorithm
Agriculture-Crop-Recommendation-Algorithm PublicTo recommend optimum crops to be cultivated by farmers based on several parameters and help them make an informed decision before cultivation
Jupyter Notebook 1
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Dates-Fruits-Classification-with-XGBoost-Model-in-Python
Dates-Fruits-Classification-with-XGBoost-Model-in-Python PublicThe aim of this study is to classify the types of date fruit, that are, Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, and Sagai. 898 images of seven different date fruit types wereโฆ
Python
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DEMAND-FORECASTING-WITH-HOLT-S-WINTER-METHOD-IN-PYTHON
DEMAND-FORECASTING-WITH-HOLT-S-WINTER-METHOD-IN-PYTHON PublicDemand forecasting time series data using Holt's Winter Method in Python
Jupyter Notebook
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IMPACT-OIL-AND-USD-TOWARDS-CUSTOMER-PRICE-INDEX-CPI-TIME-SERIES-FORECASTING-WITH-PYTHON
IMPACT-OIL-AND-USD-TOWARDS-CUSTOMER-PRICE-INDEX-CPI-TIME-SERIES-FORECASTING-WITH-PYTHON PublicEstimate the impact of oil and USD changes towards Customer Price Index (CPI) using Python
Python 1
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MYR-VS.-USD-FORECAST-WITH-RANDOM-WALK-TIME-SERIES-FORECASTING-
MYR-VS.-USD-FORECAST-WITH-RANDOM-WALK-TIME-SERIES-FORECASTING- PublicSearch for best model for MYR vs. USD series using Random Walk method with EViews.
xBase
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Retail-Sales-Forecast-with-XGBoost
Retail-Sales-Forecast-with-XGBoost PublicRetail Sales Forecast With XGBoost Model
Jupyter Notebook
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