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I will build a ml house price prediction model using python
Data Scientist and Analyst Python Machine Learning EXCEL SQL Dashboards
Hello! I am Narendra with 2 years of experience in Data Analytics and Data Science, with expertise in data analysis, data visualization, machine learning, and transforming complex datasets into action...
About this Gig
House Price Prediction Using Machine Learning
Developed a complete Machine Learning project in Jupyter Notebook to predict house prices based on various features. The project includes data preprocessing, exploratory data analysis (EDA), feature engineering, model building, and performance evaluation.
Project Workflow:
- Data Loading and Understanding
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Feature Selection & Engineering
- Machine Learning Model Development
- Model Training and Testing
- Model Evaluation and Performance Analysis
- House Price Prediction
Technologies Used:
Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, Jupyter Notebook
Machine Learning Techniques:
- Linear Regression
- Decision Tree Regression
- Random Forest Regression
- Model Evaluation using Performance Metrics
This project demonstrates how machine learning can analyze housing data and generate accurate price predictions to support data-driven decision-making.
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Programming language:
Python
•
SQL
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
Technology:
Python
•
Java
•
TensorFlow
•
PyTorch
•
SQL
•
Excel
Other Data Science & ML Services I Offer
FAQ
Q: What information do you need to start the house price prediction project?
I need the dataset (CSV/Excel file), project requirements, target variable, and any specific instructions you want me to follow.
Q: Which machine learning algorithms do you use for house price prediction?
I use machine learning regression algorithms such as Linear Regression, Decision Tree Regression, Random Forest Regression, and other suitable models based on the dataset.
Will you provide the complete Jupyter Notebook file?
Yes, I will provide a well-structured Jupyter Notebook containing data preprocessing, EDA, visualization, model training, evaluation, and prediction results.
Can you clean and preprocess my real-world dataset?
Yes, I can handle missing values, duplicate data, outliers, data transformation, and feature engineering to prepare your dataset for machine learning.
Can you explain the model performance and results?
Yes, I will provide model evaluation metrics and explain the results to help you understand the prediction performance.
Which tools and technologies do you use?
I use Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, and Jupyter Notebook for machine learning projects.
