Comprehensive Weather Forecast Analysis
Budget: ₹600 – ₹1,500 INR
I need a seasoned data scientist to process and analyze a weather dataset from Pune, Maharashtra, India, covering 2008-2022. The analysis will aim to achieve several objectives including accurate short-term forecasting, identifying climate patterns, and optimizing specific weather parameters.
Key Tasks:
- Data Pre-processing: Use various methods for data cleaning and normalizing.
- Feature Selection: Identify useful features using methods like Information Gain, Gain Ratio, Principal Component Analysis, Decision Tree, and Random Forest.
- Machine Learning: Implement five different methods to analyze the data.
- Parameter Identification: Find significant weather parameters from the analysis.
- Time Series Analysis: Use ARIMA and SARIMA models to predict the actual real-time temperature for 2023.
Preferred Skills:
- Proficiency in Python is essential for data analysis.
- Experience with machine learning and time series models.
- Strong understanding of feature selection methods.
- Ability to deliver cleaned data in an Excel spreadsheet.
- Familiarity with data preprocessing techniques.
The ideal candidate will have a proven track record of similar projects, demonstrating their ability to deliver comprehensive and insightful weather forecast analysis. Please refer to the dataset from this link: https://www.kaggle.com/datasets/dipakdeshmukh/weather-data-of-punemaharashtraindia2008-2022.
Key Tasks:
- Data Pre-processing: Use various methods for data cleaning and normalizing.
- Feature Selection: Identify useful features using methods like Information Gain, Gain Ratio, Principal Component Analysis, Decision Tree, and Random Forest.
- Machine Learning: Implement five different methods to analyze the data.
- Parameter Identification: Find significant weather parameters from the analysis.
- Time Series Analysis: Use ARIMA and SARIMA models to predict the actual real-time temperature for 2023.
Preferred Skills:
- Proficiency in Python is essential for data analysis.
- Experience with machine learning and time series models.
- Strong understanding of feature selection methods.
- Ability to deliver cleaned data in an Excel spreadsheet.
- Familiarity with data preprocessing techniques.
The ideal candidate will have a proven track record of similar projects, demonstrating their ability to deliver comprehensive and insightful weather forecast analysis. Please refer to the dataset from this link: https://www.kaggle.com/datasets/dipakdeshmukh/weather-data-of-punemaharashtraindia2008-2022.