FADHILAH NUR ISMAIL (@Fadhilahnur)
github

Fadhilahnur

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  • Stars
    star
    8
  • Global Rank 1,106,139 (Top 39 %)
  • Followers 1
  • Registered almost 4 years ago
  • Most used languages
    Jupyter Notebook
         40.0 %
    Python
         20.0 %
    R
         20.0 %
    xBase     20.0 %
  • Location 🇲🇾 Malaysia
  • Country Total Rank 1,569
  • Country Ranking
    xBase     1
    R
         45
    Jupyter Notebook
         96
    Python
         563

Top repositories

1

Agriculture-Crop-Recommendation-System

By using external factors on fertilizers composition, climate change and geographical features, I used classification method in machine learning model by using Random Forest in Python to create this agriculture crop recommendation system as an innovative approach to plan and improve crop yield. Data is stored in MSSQL database, then connect Python to the database to code the machine learning model. The user interface (UI) is created by using Python TKinter. The calculation from Random Forest is pack using pickle module in Python, where it can be connected to UI to called the result for crop yield suggestion when user key in their data. This dataset contains 22 types of crops yield with details on Nitrogen, Potassium, Phosphorus, temperature, humidity, pH Level and rainfall. This model is tested using Decision Tree, Naïve Bayes, Support Vector Machine, Logistic Regression and Random Forest. Out of this 5 models, Random Forest has the highest accuracy. This approach may be able to reduce vulnerability in agriculture landscape and questioned raised on meeting global food demand sustainability. This also can be used as solution for young farmers to fully optimize their planning on what crop they can plant based on the current geographical features and mineral composition.
Jupyter Notebook
4
star
2

IMPACT-OIL-AND-USD-TOWARDS-CUSTOMER-PRICE-INDEX-CPI-TIME-SERIES-FORECASTING-WITH-PYTHON

Estimate the impact of oil and USD changes towards Customer Price Index (CPI) using Python
Python
1
star
3

OIL-and-USD-towards-CPI-Time-Series-Analysis-and-Forecasting-

Estimate the impact of OIL and USD towards CPI using least squares method using R
R
1
star
4

Agriculture-Crop-Recommendation-Algorithm

To recommend optimum crops to be cultivated by farmers based on several parameters and help them make an informed decision before cultivation
Jupyter Notebook
1
star
5

Unemployment-Rate-Time-Series-Forecasting-with-ARIMA-Box-Jenkins-Method-

The change of unemployment rate is affected by the economic transformation that had taken place whether the economy is in recession or booming. This program is to see how important unemployment towards Malaysian economy and how COVID- 19 pandemic affects the unemployment. Other than that, it is also to analysis the forecast for unemployed that are obtained from ARIMA data.
xBase
1
star