![Some functions used
for data cleaning
Feature Engineering
apply ()
describe ()
loc [ ]
lambda
allow the users to pass a function
and apply it on every single value
of the Pandas series.
attribute access a group of rows
and columns by label or a
boolean array.
The describe() method returns
description of the data in the
DataFrame.
A lambda function is a small
anonymous function, lambda take
any number of arguments, but can
only have one expression.](https://image.slidesharecdn.com/sgpppt-240413040457-d4c2a7ba/85/housing-price-prediction-ppt-in-artificial-6-320.jpg)
housing price prediction ppt in artificial
- 2. Topics Covered 01 Language Python IDEs Jupyter Notebook, VS Code and PyCharm 04 Libraries 02 Model Building Sklearn for model building 03 Connect the model Python Flask for HTTP server 05 Front End HTML, CSS, JAVASCRIPT for UI 06 Numpy and Pandas for data cleaning Matplotlib for data visualization
- 3. Introduction Welcome to the presentation on House Price Prediction using Data Science. In this presentation, we will delve into the entire process of predicting house prices. We'll cover everything from data processing to building machine learning models and creating a user-friendly interface. Python in Data Science Python is a versatile and widely-used programming language in data science. Its rich ecosystem of libraries makes it ideal for tasks like data processing, visualization, and modeling.
- 4. Data Cleaning Data cleaning is the critical first step in any data analysis project. We used Pandas, a powerful Python library, for data cleaning tasks. Examples include handling…… • missing values • removing duplicates • transforming data for analysis.
- 5. Some functions used for data cleaning Data Cleaning Methods The drop() removes specific row and column drop() Returns True or False for Null values isnull() Returns description of data like std, min, max etc describe() Removes rows that contain null values dropna()
- 6. Some functions used for data cleaning Feature Engineering apply () describe () loc [ ] lambda allow the users to pass a function and apply it on every single value of the Pandas series. attribute access a group of rows and columns by label or a boolean array. The describe() method returns description of the data in the DataFrame. A lambda function is a small anonymous function, lambda take any number of arguments, but can only have one expression.
- 7. Outlier Removal An Outlier is a data-item/object that deviates significantly from the rest of the (so- called normal)objects. They can be caused by measurement or execution errors. The analysis for outlier detection is referred to as outlier mining. There are many ways to detect the outliers, and the removal process is the data frame same as removing a data item from the panda’s data frame. Here pandas data frame is used for a more realistic approach as in real-world project need to detect the outliers arouse during the data analysis step, the same approach can be used on lists and series-type objects.
- 8. One Hot Encoding One hot encoding is a technique that we use to represent categorical variables as numerical values in a machine learning model. The advantages of using one hot encoding include: • It allows the use of categorical variables in models that require numerical input. • It can improve model performance by providing more information to the model about the categorical variable. • It can help to avoid the problem of ordinality, which can occur when a categorical variable has a natural ordering (e.g. “small”, “medium”, “large”).
- 9. Accuracy of our model: 0.8629132245229449 Model Building SKlearn Scikit-Learn is a comprehensive machine learning library. We have used sklearn library for training and testing data. We will use Linear Regression to predict accuracy of our model.
- 10. Integrated Development Environment 01 Offers an interactive environment for data exploration 02 Visual Studio Code Provides versatlie coding platform 03 PyCharm Offers advance features for Python development 04 Postman Used for HTTP Testing Jupyter Notebook
- 11. app.run(host, port, debug, options) Host:The default hostname is 127.0.0.1, i.e. localhost. Port: The port number to which the server is listening to. The default port number is 5000. Debug: The default is false. It provides debug information if it is set to true. Options: It contains the information to be forwarded to the server. Python Flask for HTTP Server Python Flask route():defines the URL mapping of the associated function. app.route(rule, options) rule: It represents the URL binding with the function. options: It represents the list of parameters to be associated with the rule object
- 12. UI Design HTML Used to make layout of the page 01 CSS Used to design page and make it more attractive to user. 02 JavaScript Used to add functionalities in Web page. 03
- 13. Demo Video
- 14. Thank You ! Presented By : Krish Patel (IU2041050078) Devarsh Patel (IU2041050074) Kaksh Patel (IU2041050077)